Duration: 2 Sept 2021 → 3 Sept 2021
Name | Proceedings of the European conference on knowledge management |
---|---|
ISSN (Print) | 2048-8963 |
Conference | 22nd European Conference on Knowledge Management, ECKM 2021 |
---|---|
Abbreviated title | ECKM 21 |
Country/Territory | United Kingdom |
City | Virtual, Online |
Period | 2/09/21 → 3/09/21 |
Internet address |
This output contributes to the following UN Sustainable Development Goals (SDGs)
T1 - Digital Transformation in the FMCG and Automotive Industries – Emergence of Digital Innovation Capabilities
AU - Brewis, Claire
AU - Strønen, Fred
PY - 2021/9
Y1 - 2021/9
N2 - Technological developments are disrupting the business environment, introducing new and more innovative, digitally-born competitors. Simultaneously, customer engagement with digital technologies, such as social media platforms, has altered behaviour and expectations. Established firms are under siege from these radical and disruptive changes and are responding by engaging in digital transformation using digital resources, including big data, to deliver product as well as process innovation. Such transformation requires new innovation capabilities, but the nature of these capabilities is not well understood. This study addresses the question ‘What are the innovation capabilities that firms require for digital transformation?’. This paper explores innovation capabilities development in four companies, in two industries that are facing significant technology-driven market and operational turbulence. We have collected data from the automotive industry and the fast moving consumer goods (FMCG) industries. Both sectors are experiencing industrial restructuring with new, data-driven competitors, digitalised business models, unconventional alliances, distribution challenges and changing customer expectations. For firms in these industries digital transformation includes process innovation through the introduction of digital technologies and new ways of working to leverage value from big data. It also involves innovation through increasingly personalised customer engagement and the commercialisation of data systems. Using a multiple case study design based on elite interviews, we compare the four firms’ approaches to digital transformation. Our study provides new insights into the digital innovative capabilities (DIC) that firms apply to develop new knowledge within their digital transformation. From our findings we develop five specific propositions for the development of digital innovation capabilities theory.
AB - Technological developments are disrupting the business environment, introducing new and more innovative, digitally-born competitors. Simultaneously, customer engagement with digital technologies, such as social media platforms, has altered behaviour and expectations. Established firms are under siege from these radical and disruptive changes and are responding by engaging in digital transformation using digital resources, including big data, to deliver product as well as process innovation. Such transformation requires new innovation capabilities, but the nature of these capabilities is not well understood. This study addresses the question ‘What are the innovation capabilities that firms require for digital transformation?’. This paper explores innovation capabilities development in four companies, in two industries that are facing significant technology-driven market and operational turbulence. We have collected data from the automotive industry and the fast moving consumer goods (FMCG) industries. Both sectors are experiencing industrial restructuring with new, data-driven competitors, digitalised business models, unconventional alliances, distribution challenges and changing customer expectations. For firms in these industries digital transformation includes process innovation through the introduction of digital technologies and new ways of working to leverage value from big data. It also involves innovation through increasingly personalised customer engagement and the commercialisation of data systems. Using a multiple case study design based on elite interviews, we compare the four firms’ approaches to digital transformation. Our study provides new insights into the digital innovative capabilities (DIC) that firms apply to develop new knowledge within their digital transformation. From our findings we develop five specific propositions for the development of digital innovation capabilities theory.
KW - Automotive
KW - Digital innovation capabilities
KW - Digital transformation
KW - Dynamic capabilities
KW - Innovation
UR - http://www.scopus.com/inward/record.url?scp=85117134684&partnerID=8YFLogxK
U2 - 10.34190/EKM.21.078
DO - 10.34190/EKM.21.078
M3 - Conference proceeding
SN - 9781914587078
T3 - Proceedings of the European conference on knowledge management
BT - ECKM 2021 22nd European Conference on Knowledge Management
A2 - Garcia-Perez, Alexeis
A2 - Simkin, Lyndon
PB - Academic Conferences International Limited
T2 - 22nd European Conference on Knowledge Management, ECKM 2021
Y2 - 2 September 2021 through 3 September 2021
Accelerating digital transformation in fmcg r&d: key insights.
The fast-paced world of Fast Moving Consumer Goods (FMCG) relies heavily on innovation to stay competitive. From household essentials to personal care favorites, the FMCG industry is in a perpetual state of evolution, continuously adapting to meet the ever-changing demands of global consumers. Central to this evolution is the ongoing digital transformation of Research and Development (R&D) laboratories, Quality Assurance (QA) laboratories and Pilot plants where technology is revolutionizing the product development process from conception to market launch.
This blog is based on a live roundtable discussion among Consumer Goods industry experts which shed light on the pivotal role of digital transformation in Research and Development (R&D) labs ( watch the recording here ).
In contrast to the heavily regulated pharmaceutical sector, the FMCG industry operates with fewer regulatory constraints. However, it still faces a unique set of challenges. Regulatory requirements fluctuate across countries, and unlike pharmaceutical trials, there are no standardized phases. Thus, the FMCG industry maneuvers through a regulatory landscape tailored to each product variant. Nonetheless, it often draws inspiration from the innovative solutions pioneered in the pharmaceutical sector to address its digitalization needs.
Like many other industries, the FMCG industry aims to shorten the innovation cycle by improving efficiency and enabling in silico design to reduce the number of designed trials. This relies on capturing a maximum amount of data per experiment in a structured way and making it accessible to inform the next experiment, reducing the need for repeating experiments. “ The goal is to ensure that the data is valuable beyond the lifetime of a project and becomes a long-term resource, ” explains Bernhard Sonderegger , Group Leader Scientific Applications and Data management at Nestle. On an other side, efforts are being made to automate labs and connect instruments for a seamless transfer of data. This would greatly accelerate repetitive process and eliminate potential human errors, both in process and data collection.
“ Whatever can be converted to high throughput should be converted to high throughput, ” states Amit Chandra , Distinguished Scientist, Driving Botanical Innovation and Strategy at Amway R&D.
“ Integration is very important to free us from human errors, ” adds Maneesh Sharma , Global R&D Innovation leader at The Clorox Company.
In the Consumer Goods industry, data capture remains hybrid, a combination of manual and digital capture depending on the situation and scientist. However, the global goal is to go paperless as it will significantly improves traceability, which is crucial for audits.
To facilitate this transition, traditional lab informatics tools such as the Electronic Lab Notebook (ELN) for early development and sample preparation, alongside the Laboratory Information Management System (LIMS) for routine analysis and QC testing, are being widely adopted. Yet, there's unanimous agreement that manual data entry into these systems remains a time-consuming endeavor, hampering productivity (see White Paper Why ELN needs a Helping Hand…or Voice ).
“ At Clorox, we put the people at the center of what we do, ” emphasizes Maneesh Sharma , Global R&D Innovation leader at The Clorox Company. “ When we put a data capture process in place, we make sure sure that it is the most convenient and widely accepted process. This is why we are partnering with LabTwin to enable hands-free data entry into our ELN. ”
Erdem Akman, Ice Cream R&D Digital Transformation Leader at Unilever, understands the relevance of such a solution as, in the laboratories developing ice creams, time is of the essence due to the rapid melting of ice cream samples and scientists need to hurry to collect data, hindered by their hands often covered with sticky sugary milk.
Such challenges underscore the need for tailored solutions within the Consumer Goods industry, given the diverse and intricate nature of its products, necessitating adaptable approaches to support scientists in their research endeavors.
Collecting data in a digital form is essential to streamline analysis and speed up collaboration. But data is only useful as long as it is available to both train models and inform everyone who needs to make descisions based on it.
“ Before, the data was managed during the project, exchanged in emails and PowerPoint presentations, and ended up in a archive, ” recalls Bernhard Sonderegger , Group Leader Scientific Applications and Data management at Nestle. “ Now we want to build FAIR data assets which can be leveraged when needed ”
“ The purpose of the data is to make decision, so we want to be able to rely on the data that we capture, to find it and use it, ” added Maneesh Sharma , Global R&D Innovation leader at The Clorox Company. “ And for this, the system needs to be user-friendly to be used by people from different backgrounds. ”
Achieving standardization across sites and departments is essential for centralizing and cross-analyzing data to inform decisions effectively. This process begins with ensuring that data is standardized in format and originates from comparable procedures, irrespective of the site or department where it was captured.
Many Consumer Goods organizations have labs in multiple sites and countries, facing the challenge of site-specific testing methods, often executed using different instruments and procedures, resulting in local variabilities. This diversity poses obstacles to data pooling and reproducibility, prompting concerted efforts to unify procedures globally.
“ We need some level of harmonization for consistency, ” highlights Amit Chandra , Distinguished Scientist, Driving Botanical Innovation and Strategy at Amway R&D. “ Right now, we have harmonized our hardware and we have adopted a cloud-based system to share data. This enhances reproducibility. Now, we are working on automatically loading the instrumentation parameters from the primary to the transfer lab through our connected system. This makes running of the transfer method plug-and-play and prevent errors. ”
In addition to standardizing procedures, another significant challenge arises: standardizing scoring methods for sensory assessments using uniform scales. When evaluating product parameters, it is crucial to rate them on a quantitative scale rather than relying solely on qualitative assessments depending on the tester. This quantitative approach ensures consistency and reproducibility across different labs, enhancing the reliability of sensory evaluations.
“ We are trying to standardizing the methodology for sensory assessments by developing standard scales and matching consumer feedback with these scales. For example, how much sweet is a very sweet ice cream? ” elaborates Erdem Akman, Ice Cream R&D Digital Transformation Leader at Unilever.
The challenge is even bigger when it encompasses different departments with different requirements, whether from a regulatory point of view or an operational point of view, resulting in a large variation in the way data is captured and in which format.
“ We work in Agricultural Sciences, Food Safety, Health Science, Clinical Trials, Pet Care. But Lab data, for example HPLC data, should be in a standard format, whether it is collected at the Pilot Plant or in the Food Safety department which have different data management systems, ” shares Bernhard Sonderegger , Group Leader Scientific Applications and Data management at Nestle. “ And sample IDs and terminologies should be unified through an ontology system. In the proteomics lab, they are using UniProt as reference for the name of a protein where in Clinical Trials, they are using diagnostic markers in medical language to identify the same proteins. We cannot expect our specialists in all those fields to agree on one terminology, so we need to have an ontology system embedded in our systems because at the end of the day, it is the people in the labs that own their own data format.”
While promising technologies like data mesh and knowledge graphs offer potential solutions, their full utilization beyond academic research remains limited. Currently, many organizations attempt to enforce standard templates through shared lab informatics platforms to ensure data capture in a consistent format. However, customization is often necessary to accommodate specific requirements.
“ In R&D the primary goal is to design something new and different, but you need standard templates, so that’s the common friction point. It is hard to fit both FMCG category Ice Cream and Shampoo in a same ELN template therefore, we always customize some parts, ” explains Erdem Akman, Ice Cream R&D Digital Transformation Leader at Unilever.
Addressing the role of AI in this context, Erdem raises important questions about the level of standardization necessary for scientists in the light of the recent progress made in the field. He ponders, "What does AI require in this space? Do we need extensive standardization, or can AI extract insights from unstructured data in the ELN and provide results?". These questions highlight the evolving landscape of data standardization and the potential increasing role of AI in navigating this complexity.
This blog is based a live roundtable discussion among Consumer Goods industry experts which shed light on the pivotal role of digital transformation in Research and Development (R&D) labs ( watch the recording here ).
If you are interested in discussing your specific challenges and the value of LabTwin digital lab assistant, book a call with one of our experts.
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Digitisation of sales processes and data has been touted as the way for FMCG companies to break down channel silos and finally deliver the promise of a true omnichannel strategy. Although digitising specific elements and scaling them across channels is a must, it is not sufficient. As with any transformation, the critical step is upgrading skills & processes to support the change and embed it in the organisation. It is therefore not just about technology & tools but also about onboarding commercial teams and partners in the larger ecosystem to drive and amplify results.
What does “ sales digitisation ” mean in FMCG? Traditional face-to-face in-store sales and remote interactions with business partners are becoming very effective elements of the same toolkit. A blended approach is gaining momentum for manufacturers and retailers, especially in communication, branding and market education. But there are also more opportunities. In addition to bilateral communication, there are many more sales processes that digitisation can make possible or enhance. People at the point of sale (shoppers, POS personnel such as store managers, barkeepers, pharmacists or hairdressers for instance) can be onboarded and take part in a self-service model. This covers merchandising activities, Perfect Store execution, order taking, contract monitoring, shelf check with Image Recognitio n and many others.
Finding the right piece of software is usually just the tip of the iceberg. Digital transformation requires a solid mix of methodology and agility. Here are the steps we see as essential to drive such an initiative:
Digitisation brings in a breath of fresh air into the consumer goods Go-to-Market models. It enables you to act faster and at a larger scale to improve the quality of your execution and build a holistic view of the market across channels. It helps to solve problems like limited impact on shelf conditions, late response to urgent problems that cause a loss in revenue or challenging cooperation with stores & personnel. Digitisation also helps overcome frequency and coverage limitations, drive sales excellence and speed up time-consuming processes. It is a proven way to amplify the impact of your teams without having to increase headcount.
Interested? Contact us to learn more about how we help our FMCG clients deliver their digitisation plans: [email protected] or fill the form:
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Digital transformation in fmcg industry for Asian Paints
Mode of Training: Offline
Asian Paints Limited is India’s largest multinational paint company. It engages in manufacturing, selling and distributing paints, coatings, products related to home decor, bath fittings and providing related services. Asian Paints has always been more than simply a paint brand in India, and has become linked with elegant interior décor. This brand image is owed, in part, to marketing and campaigns that go beyond mere paint advertisements.
Asian Paints aspired to better understand their consumers’ unique decision making journey & ways to impact consumer behavior through various digital platforms.
Asian Paints collaborated with IIDE to train their brand managers to understand the consumer’s unique decision making behavior. IIDE content experts equipped the participants with knowledge of different social media platforms which could be used to impact the consumer journey.
The brand managers were provided with hands-on practise of various tools and remarketing techniques for improved customer retention.
90% Brand Managers suggested that the learning shared at the training was very relevant and they were able to apply it to their daily tasks
The trainees believed that the various content formats can be used in each stage of AIDA model & correlated to the consumers decision making journey
The trainees were overwhelmed with the training and rated it 4.6/5
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“All slides we saw were made for our team & the trainer made the effort to point out the importance of each concept from the marketeer & consumers perspective. For any brand that is traditionally a marketing giant & is new to digital media, this program is highly recommended.”
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Case Study India’s Foremost Heavy Machinery Manufacturer Achieves 96% On-Time Delivery Through Digital Transformation of Freight Sourcing Download Case Study About the Company Established
Table of Content: Let’s Decode “Freight Accounting” in the Digital Era We all know how unpredictable and fast-paced
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The Fast Moving Consumer Goods (FMCG) logistics is complex and demanding in nature. The FMCG industry is driven by dynamic lifestyles, consumer expectations and competitiveness. These factors have surged a need for seamless logistics to cater to the global market standards.
India’s FMCG logistics can catalyze multi-modal growth strategies by overcoming the critical roadblocks and proactive roadmaps. Industry experts are set to redefine their supply chain operations with lucrative opportunities, growth-focused approaches and flourishing profits. Leading businesses are gradually shifting their focus to a technologically-driven logistics module with holistic control.
According to a recent report , India’s FMCG sector is expected to grow at a CAGR of 14.9% to reach 220 billion USD by 2025, from 110 billion USD in 2020.
FMCG businesses require an agile logistics workflow due to its high turnover rate, which is driven by three factors:
Added to this, FMCG products have a specific set of storage, safety and transportation guidelines that need optimum compliance.
India’s FMCG logistics is highly fragmented and the volatile demand-supply scenario requires high responsiveness. Moreover, it involves strategic warehousing and management, to prevent overstocking/ stock outs. The supply chain operations require data-driven forecasting, performance analysis and shipment traceability to cater to the consumer expectation parameters.
Nonetheless, manufacturers in the industry are investing notably in maximizing logistics efficiency, contributing to the bottom line. The prime focus here is to ensure a seamless on-time delivery of perishable goods by bridging prevalent gaps.
FMCG Case Study
The FMCG industry is one of the fastest growing verticals in India, however underlying bottlenecks in the logistics value chain continue to affect its performance and cost dynamics at a global level. These challenges restrict a manufacturer’s scope of expansion amidst the industry volatility.
Some of the critical challenges faced by logistics managers across his sector can be listed as follows:
A fragmented logistics workflow with siloed operations prevents FMCG businesses from meeting their set objectives. Process execution and management is challenging across multi-stakeholder units. These roadblocks might result in critical gaps, reducing shipper, transporters and customer satisfaction.
Vehicle procurement is a pivotal pillar in FMCG and choosing the right transporter drives a seamless shopping experience. A primitive procurement model with manual performance analysis does not meet accuracy standards and are prone to human discrepancies. Transporters often demand high freight rates for ad hoc freight requirements.
Time-bound nature of FMCG products requires optimum logistics responsiveness to overcome critical gaps that might delay the shipments. Inefficient forecasting and predictive analytics hinder supply chain strategies, hindering operational capacity to identify and address existing or potential threats to the supply chain.
Manual-driven in transit monitoring restricts stakeholders visibility into discrepancies and delays. No transparency across justified reasons for deviations might increase detention costs, delay deliveries, affect shipper-carrier relationships and reduce customer satisfaction in the long run. These roadblocks affect market share and profitability.
Inefficient load distribution and indenting results might obstruct shipment efficiencies and increase cost incurrences to the company. In a traditional module, logistics managers often fail to understand the vehicle’s capacity, resulting in inefficient allocation. It leads to SOB deviations and increases costs in case of last minute cancellations.
Traditional collaboration via prolonged phone calls, emails, WhatsApp, etc. curbs operational transparency across all process stages. FMCG logistics comprises a complex network of stakeholders who communicate and share data for a sleek execution. Absence of a holistic collaboration platform increases cycle time, human discrepancies and operational gaps.
FMCG Industries are benefiting through Digital Transformation in their Logistics operations. Find how
Technological implementation across the FMCG supply chain is expected to enhance resilience, flexibility, speed, agility and sustainability. Leading businesses in this domain are adopting digital solutions to identify and address the pain points with growth-focused benefits like:
Companies in the FMCG sphere are aiming for strategic digital optimizations to cater to tight shipment deadlines, fluctuating inventory levels and traceability standards. SuperProcure’s SaaS TMS solutions empower the FMCG supply chain with holistic management, better ROI, strategic planning, centralized control, quicker escalation management and proactive decision making. It aligns data-driven insights with the optimization strategies, ensuring a resilient, agile and 100% audit compliant logistics module.
Beyond the prevalent complexities, FMCG logistics upholds a promising future that shall contribute substantially to India’s economy. Collective approaches in digital-driven supply chain optimization shall mark its onset.
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EY helped one of South Asia’s leading FMCG organizations in their business transformation journey across their value chain.
The better the question
The South Asian FMCG major needed to transform their operations to not only be future-ready but also create barriers of entry in the market.
One of South Asia’s leading FMCG organizations was anticipating stiff competition from multinational corporations on the back of a free trade agreement (FTA) for consumer goods in the market. Easy market access for competition in the future and deep pockets of the peer group to buy market share were primary concerns for the client.
The better the answer
Strengthening systems and processes, with end-to-end procurement, supply chain and route-to-market transformation.
Case study: How EY optimized the supply chain of a leading Indian MNC
EY helped a leading FMCG company optimize vendor costs, eliminate redundancies, and create sales & operations platform. Learn more about supply chain case study.
EY worked on a 15-month transformation journey , using a three-step approach, i.e., optimizing and addressing procurement gaps, sustaining the change and building a credible differentiator that is future-ready. The business transformation was devised with the aim to unlock greater potential across the value chain, significantly improve EBITDA and most importantly, create barriers of entry in the market.
The key initiatives of the transformation journey included:
Procurement transformation
EY helped the organization transition from a traditional sourcing and price discovery model to a scientific sourcing and procurement model by building capability across key functions such as strategic sourcing, category management, supplier relationship management and total delivered cost optimization. The initiative also helped drive defined cost savings measures such as identifying cost effective suppliers, better supplier negotiations, among others.
Supply chain optimization
EY designed and implemented robust tools for production planning (to optimize finished goods inventory and working capital ) and dispatch planning (for optimizing distributor inventory and reducing loss of sales).
Downstream transformation (route-to-market)
This initiative focused on driving topline growth and creating bottom-line savings through:
The better the world works
Addressing the gaps in the value chain, the organization is now ready to sustain the market disruption while increasing entry barriers for competition.
The client started to reap the benefits from the business transformation program within three months of implementation, in terms of positive EBITDA margins.
We were also able to consolidate the distributor base for greater efficiency and developed an empowered sales force through specialized trainings.
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Augmented reality has surged in the headlines of late with the release of Apple’s Vision Pro headset and Meta teasing a potential rollout of AR glasses as it marks the 10-year anniversary of its VR/AR outfit, Meta Reality Labs. If augmented reality headsets and eyewear become more commonplace, brands and entertainment companies may take the […]
A roundup of research that paints a picture of the growth, but also the context for the growth, in retail media.
The UK lighting brand partnered with Happy Yolk to increase brand awareness and highlight the opening of its new Leeds showroom with a three-phase campaign culminating in a competition to attract high-quality leads. Pooky Lighting | Happy Yolk
The company, which sells maritime-inspired clothing, tested search bar variants on desktop and mobile with agency Klevu, discovering unexpected results that increased search sessions and revenue. Seasalt | Klevu
The menswear retailer partnered with Stellar Search to observe and measure the impact of Performance Max in driving revenue from incremental sales compared to standard Shopping campaigns. MOSS | Stellar Search
How FMCGs optimise their presentation and presence on the digital shelf; their online proposition and product offering; and their availability and fulfilment processes.
What is the digital shelf? What does it mean for FMCG brands and how can they win there, including making the most of evolving retail media networks?
From retail media to data partnerships and ‘clean rooms’, FMCG brands have many opportunities to take advantage of second-party data to better target customer or prove the effectiveness of their marketing.
November’s edition of Digital Transformation Monthly takes a close look at the trends redefining how consumers engage and shop with grocery and FMCG brands, including shelf-edge technology, retail media, digital loyalty schemes, and checkout-free shopping.
This special edition of Digital Transformation Monthly looks at the rise of retail media networks and the conditions that have led to their growing appeal, featuring key stories from individual retailers.
From order picking to last mile delivery, grocery retailers and FMCG brands are increasingly looking for ways to improve speed and efficiency in omnichannel fulfilment. With rising consumer expectations, the goal is to give customers what they want, exactly when they want it, even amid wider challenges in the supply chain. A large number of […]
The coronavirus pandemic has formed new consumer habits around buying fast-moving consumer goods (FMCG, also known as consumer-packaged goods or CPG). While the astronomical spike in online purchasing that was seen in the early days of the Covid-19 lockdowns (and again in late 2020 and early 2021) proved to not be permanent, many more consumers […]
Retail media can help brands reach in-market customers near the point of sale. This guide looks in-depth at the retail media opportunity, with best practice advice on strategy, campaign execution and measurement.
For brands who primarily sold to or interacted with customers via a physical venue, the Covid-19 pandemic and the lockdown that it brought prompted an abrupt shift towards finding ways to interact with customers in the digital realm instead. This was particularly true for beverage company Diageo, which owns drinks brands like Guinness, Baileys, Smirnoff, […]
Direct-to-consumer (D2C) commerce surged during the early stages of the Covid-19 pandemic, as new brands capitalised on the shift to online shopping, and mainstream brands – such as Nike and Levi’s – doubled down on direct sales channels. Two years on, with physical retail regaining traction, and wider issues such as inflation, online advertising prices […]
When you hear the brand name ‘Mars’, what is the first thing that springs to mind? Chances are, it’s probably sweets, since Mars is best known as the company that owns confectionery brands like Galaxy, M&Ms, Snickers, Twix and many more. Far less widely-known is the fact that Mars is one of the world’s largest […]
March 24th, 2022 | 2:00pm GMT | 10:00am EDT
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Unilever, Fortune 100 Global CPG Leveraged digital transformation and automation to significantly improve planner productivity, reducing manual tasks and freeing up valuable time for strategic planning. With Solvoyo, Unilever implemented an end-to-end planning process that integrates seamlessly with other supply chain functions, ensuring a holistic and integrated view of the supply chain.
Unilever, Fortune 100 Global CPG Consolidated demand planning efforts into a single, centralized platform, eliminating silos and ensuring consistency across the organization. With Solvoyo Platform, Unilever gained real-time insights into demand trends, enabling faster and more informed decision-making.
Unilever, Fortune 100 CPG Company streamlines automated production planning and decision automation with little to no human touch. Thanks to the partnership with Solvoyo, the company has eliminated gaps between planning and execution in its end-to-end supply chain.
Unilever – Fortune 100 Global CPG Managing all their supply chain planning data on a single platform, they achieved real-time visibility & agility for faster decision-making
A101, Sixth Fastest Growing Retailer A101 partnered with Solvoyo to optimize inventory management and enhance revenue. Today, the company is largest grocer in Turkey and one of the fastest-growing retailers in the world, generating billions in annual revenue.
Studenac Market Grocery Chain Studenac Market, one of top national chains with the largest sales network in Croatia achieved automated planning with the Solvoyo Digital Platform.
Unilever – Fortune 100 Global CPG The Fortune 100 CPG company producing ambient products identified opportunities in its fulfillment & transportation network using the Solvoyo Platform.
Unilever – Fortune 100 Global CPG The Fortune 100 frozen products CPG company partnered with Solvoyo to optimize its network replenishment and transportation of its products.
Global Automotive Manufacturer The automative manufacturer used an analytics platform to optimize last-mile delivery infrastructure and tactics.
Consumer Electronics Manufacturer The consumer electronics manufacturer used an analytics platform to automate planning platform to support omni-channel operations.
Premium Leather Goods E-Tailer Bonaventura started their digital transformation of end-to-end Pre-Season Planning with Solvoyo. Bonaventura sells its premium products on 5 different sales channels, including Shopify, Amazon and Rakuten
Rapid Grocery Delivery Unicorn Gorillas use of Solvoyo’s platform simplifies and even automates many of the planning and execution steps required to successfully meet customer demand
Istegelsin – Rapid Grocery Delivery Startup The startup achieved End-to-end integrated dark store replenishment and purchase order planning using Solvoyo’s platform
Schneider – Global Energy Manufacturer The company’s objective was to enhance its Asia-Pasific market position
P&G – Fortune 100 Global CPG The Global CPG company uses a single digital platform to maintain global demand, inventory and supply visibility
Mid-Market CPG in North America The CPG company used our digital platform with end-to-end planning and analytics capabilities in order to increase its OTIF levels
A101 – 5th Fastest-Growing Retailer A101 made fast adjustments to demand changes, adapting safety stocks across 50 DCs, and increasing safety stocks in the stores
A101 – World’s 5th Fastest-Growing Retailer A101 achieved digital transformation of manual planning process through a single platform supporting collaboration and visibility
A101 – 5th Fastest-Growing Retailer A101 improved planner productivity and quality of decision-making based on advanced analytics
A101 – 5th Fastest-Growing Retailer A101 achieved digital transformation of manual planning process through a single platform supporting collaboration and visibility
Global Automotive Manufacturer The automative manufacturer used an analytics platform to optimize the spares network using a Total Cost to Serve objective
Hepsiburada – E-Commerce Retailer Hepsiburada automated their approach to detect slow moving inventory and optimize price actions to meet budget targets
Hepsiburada – E-Commerce Retailer Hepsiburada achieved automated forecasting and inventory optimization, supplementing historical sales data with web searches, click rates and conversion
Home Depot – Major Home Retailer Home Depot optimized Total Cost to Serve with explicit trade-offs among inventory, transportation and store operations
DeFacto – Multinational Apparel Retailer DeFacto improved precision through millions of automated markdown recommendations meeting different business objectives
DeFacto – Multinational Apparel Retailer DeFacto reached a 100% automated initial allocation & replenishment processes’ accepting 90% of 150+ weekly recommendations
DeFacto – Multinational Apparel Retailer End-to-end to digital transformation for integrated budget management and buy planning
Penti – Apparel Retailer Penti achieved end-to-end integration and digital transformation for pre-season planning
Penti – Apparel Retailer With smarter replenishment decisions, Penti balanced inventory across the chain enabled 25% revenue growth with only 2% increase in stock
MOPAS – Grocery Retailer MOPAS automated their supply chain to minimize costs and maximize efficiency
Duzey – Wholesale Distributor Demand driven replenishment planning with sales forecast collaboration and automated safety stock calculation
Newgistics Solvoyo provided a robust analytical decision support capability to address Newgistics’ operational’ tactical and strategic decision making processes
Vestel – Consumer Electronics Manufacturer Vestel automated the transportation mode, vehicle, its route and constructing as a holistic plan to minimize transport costs
Sok – Hard Discount Retailer SOK implemented an automated replenishment planning system on the cloud.
Applied Materials Applied Materials has realized in excess of $10 million of annual savings while achieving the target response times specified in their multi-tier service level agreements
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Learn how three companies—Walmart, Ford, and Anheuser-Busch InBev—successfully transformed their business through digital initiatives to improve the customer experience.
Originally published on March 30, 2022
Overcoming common digital transformation challenges, tips for building a digital transformation strategy, always focus on your customers.
Digital transformation is a process in which a company invests in new digital products and services to position it for growth and competition. A successful digital transformation improves the customer experience and enhances the way a company operates behind the scenes.
During a digital transformation, your business deploys new products and technologies and develops new ways to connect with your customers. Once the investment in digital begins, your business can use feedback and data to identify growth opportunities.
The three case studies below—from Ford, Walmart, and Anheuser-Busch InBev (AB InBev)—show how legendary companies went beyond simply creating an app and truly re-thought how digital transformation efforts supported sustainable growth for the business.
Here are three examples of digital transformation. These leading companies carefully considered how new technology could generate data that made internal processes more efficient and produced insights about how to grow customer value.
Brewing company AB InBev underwent a digital transformation while compiling its network of independent breweries into a unified powerhouse . One of the team’s priorities was moving all their data to the cloud . By doing so, AB InBev enabled all employees to quickly and easily pull global insights and use them to make data-backed decisions.
For example, more accurate demand forecasting means AB InBev teams can match supply with demand, which is essential for such a large company with a complex supply chain. Access to big data from all the breweries means employees can experiment faster and roll out changes that improve business processes.
Gathering more data and opening up that data to internal teams was just the first step of the process, though. AB InBev capitalized on its digital investments by launching an e-commerce marketplace called BEES for its SMB customers—the “mom-and-pop shops”—to order products from. With the BEES platform, AB InBev found that their small and medium-sized businesses browsed the store on the mobile app and added items to their cart throughout the day. However, they only made the final purchases later in the evening.
Based on this behavioral data, the BEES team started sending push notifications after 6:00 p.m. recommending relevant products, which led to increased sales and greater customer satisfaction. Through these efforts, BEES gained over 1.8 million monthly active users and captured over $7.5B in Gross Merchandise Volume.
By closely monitoring metrics such as user engagement and purchasing patterns on the BEES platform, AB InBev has made a big impact with its marketing strategies and improved customer retention.
Jason Lambert, SVP of product at BEES, credits their success with the hard data that told them how their customers behaved and what they needed: “It turned out to be a thousand times better than any of our previous strategies or assumptions.” BEES used behavioral analytics to respond quickly, changing the buying experience to match the needs and habits of their retailers.
As a traditional brick-and-mortar retailer, Walmart began a digital transformation by opening an online marketplace. However, digital transformation is an ongoing process—it doesn’t end at the first website. A digital transformation means companies refocus their operations around digital technology. This usually happens both internally and in a customer-facing way.
To drive more customer value through digital touchpoints, Walmart set up mobile apps and a website to enable customers to purchase goods online. After analyzing customer behavioral information from its app, Walmart added more services such as same-day pickup, mobile ordering, and “buy now, pay later.”
These changes were made to meet customer expectations and improve the customer experience. Walmart’s introduction of a seamless online shopping experience represents a pivotal step in digital innovation, setting new standards for retail convenience and efficiency.
In 2024, Walmart announced an AI-powered logistics product called Route Optimization. This product uses AI to find the most straightforward driving routes, pack trailers efficiently, and reduce miles traveled. In addition to using this product internally, Walmart plans to offer it to other businesses that need to employ more efficient supply chain and logistic processes.
Aside from improving customer experience and logistics, Walmart’s head of mobile marketing , Sherry Thomas-Zon, also notes the importance of data—and access to data—in digital transformations. “Our marketing and product teams are always looking at numbers,” Thomas-Zon said. “It keeps our teams agile despite our size and the increasing amount of data we collect and analyze.”
Ford has embraced several digital transformation initiatives, including using technology to transform and improve manufacturing at one of its biggest automotive factories.
Not having the correct parts available holds up workers and slows down the production process. Ford introduced a material flow wireless parts system so they could track the quantities of different parts and make sure there were enough available. Ford’s use of automation has significantly improved its inventory management process by reducing manual tasks and enhancing worker efficiency.
In 2016, Ford also introduced a digital product for its customers: the FordPass app . It enables Ford owners to control their vehicles remotely. For example, drivers can check their battery or fuel levels and lock or unlock their cars from their phones.
In 2024, Ford took its digital transformation even further when it launched the Ford and Lincoln Digital Experience . Key features include personalized vehicle settings, real-time traffic updates, and seamless integration with smart home devices. The platform also provides advanced navigation, remote control of vehicle functions via the FordPass app, and in-depth vehicle health monitoring.
To capitalize on these digital touchpoints, Ford uses data from its app to improve user experiences . With the ability to capture and analyze data in real-time, Ford’s leadership can now make quicker, more informed decisions that directly enhance operational efficiency and customer satisfaction.
Ford’s success is grounded in the same process as Walmart and AB InBev. They used their digital transformation to gather detailed information about how customers interact with their products. Then, they made data-driven decisions to provide more value.
It’s not called a transformation for no reason. You’re changing the way your business operates, which is no easy feat. Planning and effective change management strategies are key to overcoming digital transformation challenges.
Create a digital transformation strategy roadmap that outlines your integration strategy and details how this will affect your teams, processes, and workflows. Once you’ve created your plan, share it with the entire company so everyone can use it as a single reference point. Use a project management tool that enables team members to get a big-picture overview and see granular details like the tasks they’re responsible for.
It takes time for teams to onboard and move away from what was successful under the previous system, for example, shifting from heavyweight to lightweight project planning. Make sure you factor some breathing space into your roadmap—giving everyone a chance to get used to the new way of operating.
As part of a digital transformation, you’ll want your team to develop new skills as well. Upskill your team by incorporating digital skills into your employee development plans . Provide people with opportunities to learn and then track their progress. Promote platforms like LinkedIn Learning to help your teams understand the nuances of digital transformation and boost their skills.
If you believe there’s an end-state to digital transformation, more challenges will arise. New technology and consumer behaviors are always emerging, meaning digital transformation is ongoing. It’s not something you’ll complete in a week. Rather, it’s a continuous state of experimentation and improvement.
At Amplitude, we refer to this process as digital optimization . If digital transformation brings new products, services, and business models to the fold, then digital optimization is about improving these outputs. Both digital transformation and digital optimization are important—digital transformation signals the start of new investments, and digital optimization compounds them.
Examine how each part of the transformation will affect your customers and your employees. Then, you can be intentional and introduce initiatives that positively impact your business.
There are different ways of approaching a digital transformation. Some companies prefer to implement an all-inclusive digital strategy, transforming all parts of their organization at the same time. Others opt for a less risky incremental strategy. Every company is different. To choose the best approach, examine your whole organization and analyze where digital systems could help.
Consider your business goals. Investigate how a digital transformation could impact the customer experience. What new products could you provide? How could you improve your services? For example, you might use artificial intelligence to create a chatbot that reduces customer service wait times—or purchase software that does the same.
You’ll also want to review your business processes. How could a digital transformation speed up your current workflows, improve your operations, or enable more collaboration between teams? Asking these questions lets you challenge the way you operate and will help you identify problems in your organization that you might not have noticed before. For example, perhaps your deliveries are often delayed, and you could make delivery smoother by digitizing elements of your supply chain .
Though different teams may work separately, your customers are affected by each department. Collaboration elevates everyone’s work because it means people can make informed decisions.
Make sure you get input from all of the right stakeholders when you create your digital transformation strategy. Ask:
Enable everyone to access the data they need without input from anyone else. Help your employees improve their data literacy . Start by training all your employees to use your organization’s data tools and software. To help everyone in your organization access and analyze data, adopt easy-to-use self-service tools (e.g., an analytics tool and a CRM). Then, lead by example. Provide inspiration by using data storytelling in your presentations to explain the decisions you make.
Encourage collaboration between teams by creating shared resources so they have spaces to present insights and submit suggestions. This could be as simple as creating a Google Doc for brainstorming that multiple teams can access or sharing charts directly within your analytics solution, like with Amplitude Notebooks . Then, you can start to experiment and make improvements to the digital customer experience like Walmart, Ford, and AB InBev did.
Once your digital transformation is moving, a digital optimization strategy is an opportunity to generate growth. Your digital transformation initiatives will continue in parallel, and the process will become a feedback loop:
Keep customer needs at the heart of your work. Let them guide you as you undergo digital transformation. As you gather more data about how your customers interact with your new digital products, use it to make the experience even better for them. This will lead to more trust and loyalty and, ultimately, more recurring revenue.
To continue your learning about digital transformation and optimization, join an Amplitude workshop or webinar or read our Guide to Digital Optimization .
More best practices.
The guide to data accessibility, what is a product roadmap a definitive guide, new amplitude + snowflake integration delivers the modern data stack, digital optimization vs. digital transformation explained, 6 essential digital optimization skills you need, what is martech full guide and how to build your stack, recurring revenue 101: mrr vs. arr.
This study addresses the critical gap in understanding the risks associated with digital transformation, particularly focusing on their impact on business innovation and growth within Industry 4.0. While the transformative potential of digital technologies is well-documented, the inherent challenges remain underexplored. This research introduces an innovative decision-support model designed to evaluate and prioritize risks unique to digital transformation in the industrial sector. Utilizing Pythagorean fuzzy sets (PFSs) and multicriteria decision-making (MCDM) techniques, the model systematically assesses and ranks risks to enhance informed decision-making processes. An extensive case study reveals that key risks include a lack of commitment from top management and unstable market environments, which significantly jeopardize the digital transformation journey. The study’s findings underscore the importance of a strategic approach in mitigating these risks, facilitating a smoother transition to the digital economy. The proposed model offers actionable insights for organizations to optimize their digital transformation strategies by integrating advanced analytics and machine learning. This research contributes to the knowledge economy by providing a robust framework for managing the complexities of digital transformation, promoting sustainable innovation, and enhancing overall business performance. The study’s strengths are further reinforced through sensitivity and comparison analyses, highlighting the resilience and practical applicability of the decision-support model. These insights are invaluable for policymakers, industry leaders, and scholars focused on leveraging technology to drive economic growth and societal progress in the era of Industry 4.0.
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In the rapidly evolving hospitality industry, digital transformation has become a pivotal strategy for hotels striving to enhance guest experiences and optimize operational efficacy. The following five case studies illustrate how diverse hotel chains—from luxury resorts to eco-friendly retreats—have successfully implemented digital technologies to meet the unique demands of their clientele and setting. Each case study thoroughly examines the objectives, challenges, solutions, and outcomes associated with their specific digital initiatives. These examples showcase how hotels use technology to redefine hospitality, improve sustainability, and stay competitive in a digitally-driven market.
Related: Digital Transformation Case Studies
In an era where digital innovation is supreme, LuxStay Hotels recognized the transformative power of technology to redefine the hospitality landscape. Operating a chain of high-end hotels globally, LuxStay was challenged by evolving consumer expectations and the need for operational agility. Determined to enhance its competitive edge, LuxStay embarked on a strategic digital transformation to revolutionize guest experiences and operational processes.
The primary goal of LuxStay Hotels was to enhance guest experiences by leveraging digital technology to offer more personalized services and streamline guest interactions. Another critical objective was to increase operational efficiency across all hotel operations, reducing costs and improving service delivery through automation. Additionally, LuxStay aimed to utilize better-collected guest data to refine their marketing strategies and service offerings, ensuring each guest felt uniquely valued and satisfied.
As LuxStay looks toward the future, its strategy focuses on harnessing emerging technologies such as AI and the Internet of Things (IoT) to customize guest experiences further and optimize operational efficiency. Plans include deploying AI-driven chatbots for real-time customer service and implementing IoT for intelligent energy management and predictive maintenance within properties. By staying at the forefront of technological adoption, LuxStay aims not only to meet but exceed the evolving expectations of modern travelers, ensuring a seamless and memorable hospitality experience.
In the next phase of its digital transformation, LuxStay is exploring innovative sustainability practices, aiming to integrate renewable energy sources and smart building technologies into its hotels. This initiative is expected to reduce the chain’s carbon footprint and attract eco-conscious guests. Exploring biometric technology for enhanced security and customer convenience is also on the roadmap as LuxStay redefines luxury hospitality through technology.
This case study showcases LuxStay Hotels as a leader in digital innovation within the hospitality industry, setting benchmarks for others to follow in creating a smarter, more connected guest experience.
Facing a rapidly evolving hospitality sector driven by digital advancements, Coastal Retreat Resorts, a boutique hotel chain located primarily in coastal regions, recognized the need to modernize its operations and guest services to maintain competitiveness. The chain embarked on a digital transformation initiative to harness cutting-edge technologies to revolutionize the guest experience and optimize operational effectiveness.
Coastal Retreat Resorts aimed to fundamentally enhance the guest experience by introducing digital solutions that offer unparalleled convenience and personalization. The chain sought to improve operational efficiency by automating routine tasks and integrating systems across properties to streamline management processes. Additionally, advanced data analytics was targeted to deepen understanding of guest preferences and effectively tailor marketing efforts.
Coastal Retreat Resorts is now exploring integrating virtual reality (VR) experiences to offer virtual tours of the locality and augmented reality (AR) for immersive in-room entertainment options. This initiative aims to blend physical and digital experiences, enhancing the unique coastal charm with digital innovation.
The next strategic move includes adopting sustainable technologies such as solar-powered systems and smart water management to align with global environmental conservation trends and appeal to eco-friendly tourists. Coastal Retreat Resorts plans to explore partnerships with tech firms to co-develop bespoke hospitality solutions that could set new industry standards for guest-centric technology.
This case study demonstrates Coastal Retreat Resorts’ commitment to embracing digital transformation to deliver superior guest experiences and operational excellence, positioning them as a forward-thinking leader in boutique hospitality.
City Center Business Hotels, a chain specializing in accommodations for business travelers in major urban areas, faced the challenge of adapting to the digital expectations of its professional clientele. The hotel chain initiated a comprehensive digital transformation focused on smart technology integrations and enhanced business services to stay competitive in a market where efficiency and connectivity are paramount.
The key objective for City Center Business Hotels was to streamline the business travel experience through technological enhancements that offer speed, efficiency, and connectivity. The chain aimed to optimize operational processes to reduce wait times and improve service responsiveness. Another critical goal was to employ data-driven strategies to customize services for business travelers, enhancing guest loyalty and satisfaction.
City Center Business Hotels is exploring further advancements in AI-driven customer service solutions, including AI concierges and automated problem-resolution systems, to provide even more efficient and personalized services to business travelers.
Looking forward, City Center Business Hotels plans to integrate IoT devices to further enhance the guest experience, such as smart mirrors displaying news and weather updates and IoT-enabled coffee makers that remember guest preferences. The chain is also considering implementing blockchain technology to streamline payment processes and enhance security for business transactions.
This case study highlights City Center Business Hotels’ dedication to leveraging digital technology to meet modern business travelers’ high standards and dynamic needs, ensuring their position as a leader in the business hospitality sector.
Related: Digital Transformation in Finance Case Studies
Heritage Grand Resorts, known for their luxury accommodations in historically significant properties, recognized the need to balance their rich heritage with modern technological demands. To attract a broader demographic and enhance the guest experience while preserving the aesthetic integrity of their properties, Heritage Grand embarked on a digital transformation project.
Heritage Grand Resorts aimed to seamlessly integrate cutting-edge technology without disrupting the historical ambiance of their locations. The objective was to enhance guest convenience and provide modern amenities while maintaining the charm and elegance of their heritage settings. They also focused on utilizing technology to improve operational efficiencies and provide enriched data insights for better guest management.
Heritage Grand Resorts is considering further enhancements, such as biometric access controls for rooms and personalized environment settings that adjust based on guest preferences learned throughout their stay.
Plans include expanding VR (Virtual Reality) to offer potential guests virtual visits before booking and integrating more AI elements into everyday guest interactions. The resort also aims to explore deeper data analytics to predict guest preferences and create even more customized experiences.
This case study demonstrates Heritage Grand Resorts’ commitment to innovation, showing how technology can be harnessed to enhance traditional experiences, ensuring that these historical properties remain relevant and appealing in the modern age.
Eco Escapes Resorts, a chain specializing in eco-friendly accommodations in remote and pristine environments, faced the dual challenge of enhancing guest experiences while adhering to strict environmental conservation standards. To address these challenges, Eco Escapes embarked on a digital transformation to implement sustainable technologies and digital services that align with their commitment to environmental stewardship.
Eco Escapes Resorts aimed to enhance the sustainability of their operations using digital solutions that minimize environmental impact. The key goals included improving energy efficiency, reducing waste, and providing guests with a digital interface that enhances their stay without compromising the natural setting. Additionally, the resort sought to leverage technology to educate guests on sustainability practices and the local ecosystem.
Eco Escapes Resorts plans to explore further emerging technologies, such as biodegradable drones for ecological monitoring and guest tours, enhancing the educational aspect of their offerings without impacting wildlife or the environment.
Looking to the future, Eco Escapes is investigating the potential for blockchain technology to develop a transparent supply chain for all goods and services used at the resorts, ensuring sustainability from source to guest. They are also planning to expand their use of VR to offer virtual wildlife tours, allowing guests to experience sensitive habitats without causing disturbance.
This case study highlights Eco Escapes Resorts’ innovative approach to combining technology with environmental conservation, setting a benchmark for sustainable tourism in the hospitality industry.
Related: Digital Transformation in Aviation Case Studies
The case studies of LuxStay Hotels, Coastal Retreat Resorts, City Center Business Hotels, Heritage Grand Resorts, and Eco Escapes Resorts collectively demonstrate the transformative power of digital technology in the hospitality industry. These narratives highlight how strategic digital implementations can significantly enhance guest satisfaction, increase operational efficiencies, and maintain competitive advantage. The successes documented in these case studies serve as valuable blueprints for other hotels looking to embark on their digital transformation journeys. By embracing technological advancements, these hotels not only meet the modern demands of their guests but also set new standards for innovation in hospitality, paving the way for future developments in this dynamic industry.
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