The four characteristics of a customer-centric supply chain
What makes a customer-centric supply chain different from a traditional one? Recent research from Accenture says they are tailored to the customer, agile, trustworthy, and innovative. How can you get there? Emerging technology can help.
We are in a new reality. No longer are a company’s products the sole driver of value. The end-to-end customer experience now rules. To deliver that experience, a business must be able to understand its customers, anticipate their needs, and adapt the supply chain to exceed their expectations.
COVID-19 has quickly and very visibly highlighted the critical importance of supply chains in enabling the customer experience. In the face of large shifts in consumer behavior, the role of the supply chain has been elevated to become a fundamental enabler of a company’s customer responsiveness. The key lesson from 2020 is that customer-centric supply chains are an imperative, not a luxury. Consider the way the pandemic has forced companies to rethink the rapid segmentation of products (essential vs. nonessential), use ad-hoc partnerships for the distribution of goods, enable contactless deliveries, and develop new capabilities to protect customers and employees.
We believe that there are four key characteristics that make up a customer-centric supply chain: tailored fulfillment, agile operations, trustworthy relations, and a focus on innovation. As the pandemic subsides, the goal will be to build a customer-centric supply chain that is resilient and flexible enough to meet future day-to-day business requirements as well as “black-swan” shifts in supply and demand. In many cases, this may require transforming the fulfillment function to be more “intelligent” by redesigning the physical network, warehouse operations, and last-mile transportation. To accomplish this goal, companies will need to conduct a full review of their operating model to determine the capabilities, digital enablement, and collaborative partnerships needed to support these elements.
Changing expectations
How have customer expectations changed? Across all industries, customers want ever-faster delivery, and they want it cheap—or even free. They want more control over delivery windows, real-time visibility, and tracking of their orders, and even direct communication with providers and drivers. According to a recent report by Accenture on last-mile delivery,1 the evidence is clear:
90% of customers track the status of their online orders,
81% of customers are unwilling to pay more than $5 for same-day delivery, and
27% of customers have abandoned or cancelled an order because same-day delivery was not available.
This increase in customer expectations is also driving the development of the business-to-business (B2B) e-commerce market. Today, e-commerce makes up just 12% of B2B sales.2
Tomorrow, however, entire swathes of B2B fulfillment may be supported by e-commerce. Forrester has projected the B2B e-commerce market will grow to $1.8 trillion by 2023, accounting for 17% of all B2B sales. COVID-19 may now accelerate that growth.
What makes a customer-centric supply chain?
Companies need to redesign their supply chains as engines of growth. That means creating new customer-centric fulfillment capabilities that can deliver the experience customers crave. A customer-centric supply chain should therefore focus on four characteristics:
1. Tailored: Delivering products and services in a customized way that meets each customer’s specific needs.
2. Agile: Possessing the ability to flex and change to keep up with continually evolving customer demands.
3. Trustworthy: Supporting transparency, traceability, and responsible behavior across the end-to-end value chain.
4. Innovative: Being able to continually attract and delight customers and bring new and relevant products and services to market.
Let’s look at each of these characteristics in more detail.
Tailored
Companies must differentiate themselves by offering customers a personalized experience. From a fulfillment standpoint this could include providing personalized last-mile delivery and direct-to-consumer offerings. A 2020 Accenture survey, however, showed most companies lack the flexibility to deliver differentiated customer offerings on demand. To gain this flexibility, traditional models aligned to categories, markets, or businesses must be replaced. It’s also vital to consider restructuring to create multiple supply chains tailored to specific segments based on unique value propositions. This will enable companies to focus on the customer experience across the value chain for each segment.
Digital technology is also key to being able to provide a tailored supply chain. Machine learning and artificial intelligence play a key role in providing personalized last-mile delivery and direct-to-consumer offerings that give customers what they want, where, and when they want it. Analytics enable a company to look at all dimensions of its products, customers, and channels to understand how to segment customers by common characteristics and needs—and then configure the right supply chain activities to meet those needs. Companies also need to build capabilities to support ongoing network optimization and be able to flex and adjust in near real time as those customer needs evolve.
One company that excels in tailored experiences is Inxeption. This B2B e-commerce company provides a platform for small to medium-sized industrial companies to list, sell, and distribute their products. Thanks to a recent partnership with UPS, Inxeption customers can track transactions from listing to delivery. Inxeption creates a tailored experience for their customers by allowing them to select how, when, and where they want to receive their order.
The Japanese convenience store Lawson is another example. Japanese convenience stores in general are viewed as one-stop-shops and often handle package delivery services, allowing customers to pick up their packages along with their grocery staples. Now the company has partnered with Uber Eats for the delivery of its grocery and household goods. This partnership allows customers to receive one, tailored delivery instead of having to coordinate several separate ones.
Agile
Agility is a key feature of the customer-centric supply chain due to the customer demand for increasingly faster deliveries. Accenture research shows that 89% of companies agree e-commerce is driving these expectations.3 Today’s same-day delivery market has grown 40% year-over-year and is expected to reach $13 billion in 2020 (and $92 billion by 2025).4
Yet, as recent events have demonstrated, most established fulfillment operating models cannot react flexibly to changes in volume, variability, and mix, among others. Nor can they necessarily fulfill customer orders at the pace demanded while simultaneously optimizing cost to serve.
To increase agility, companies should consider an asset-light supply chain model and re-evaluate the physical length of their supply chains (and how close they can bring fulfillment and other agile components to their customers). In some cases, the company may rely entirely on ecosystem partners to fulfill incremental demand from segments that it cannot handle effectively or profitably on its own.
Consider Fabric, an Israeli startup that provides fulfillment as a service. It offers warehousing and distribution capabilities through micro-fulfillment centers in urban areas that feature robot product pickers and human packers and shippers. Fabric partners with companies to store and distribute their products or allows them to use its platform to run their existing facilities more flexibly.
Another example is a freight and logistics company that is creating an agile, adaptive supply chain network by leveraging its ecosystem partners and using digital tools to increase responsiveness. It has implemented robotics-enabled carts and integrated its systems with Google Glass to support pick and pack. Its automated carts follow pickers as they work, and Google Glass helps them quickly visualize what products to pick and where to place them in the warehouse (product barcodes are also scanned by Google Glass).
Trustworthy
Trust is paramount in creating a sustainable customer-centered supply chain. In fulfillment, the opportunities to build that trust are huge—but so are the opportunities to disappoint the customer. The supply chain is now a primary provider of customer confidence and satisfaction, and several capabilities play a role in helping companies earn and sustain trust.
Blockchain can be an important enabler here, potentially providing full traceability across the value chain from farm and factory, to transportation and distribution, to final delivery. Data security is also central. Given the large amount of data needed to provide a tailored and seamless customer experience, companies must ensure they are responsible stewards of customer data and transparent in how they use it.
Sustainability is another key aspect. Companies should be looking to embrace circular economy practices in their supply chains so their customers can be sure that goods are acquired and handled in an ethical and environmentally sustainable fashion. That means, for example, being able to address returns, resales, and redesign of items via an efficient collection and sorting process.
The American clothing retailer Everlane has been successful in winning over customers through trust. The company is transparent about its sourcing practices, including vendors, types of materials, and margins. For each product, it provides a breakdown of direct costs and margin, showing how the retail price compares to a similar product from a “traditional” retailer. Everlane also provides an overview of the factory where each item is produced with accompanying pictures and information.
Innovative
In order to attract and retain customers, companies need to continue to seek out innovative ways to interact with potential and existing customers. For example, there are some new technologies that provide new opportunities to learn more about customers and provide new products and services. Digital assistants and connected household devices allow customers to place orders, track deliveries, and coordinate returns from any location. Wearable devices transmit data indicating customer usage, location, and frequency.
Interacting with customers through such devices will only become easier: The deployment of 5G will enable the seamless connection of these devices and the creation of integrated experiences on an unprecedented scale. The use of 5G is expected to further boost e-commerce revenue by $12 billion by 2021.5 In fact, Gartner predicts that this year there will be approximately 20 billion internet-connected devices.6 Many of these won’t be smartphones or PCs, but dedicated machinery such as vending machines, jet engines, and myriad other examples.
As greater numbers of connected devices are incorporated into the supply chain, companies will gain an immediate feedback loop of information. This will encompass everything from connected machines providing output data at the factory to finished goods that transmit their location at the warehouse via low-frequency sensors and provide data on final product sell-through at the retailer. All this information can be used to provide better service to the customer.
Technology-led innovations that create a more customer-centric supply chain can also be good for the top line. Accenture’s research shows that companies that invest in building a digital architecture that facilitates cross-functional collaboration, use new technologies for innovation (like augmented reality, virtual reality, and machine learning), and create new streams for data driven insights can drive up their revenues by as much as 8% on average over a three-year period.
One industrial manufacturing company Accenture interviewed for its supply chain research demonstrates the potential for digitally powered innovation. This company no longer builds physical prototypes. Instead, it creates a digital twin of a product it wants to manufacture and then tests it using an augmented reality environment. From design through to production, everything is digital. This helps the company to make products that are more personalized, longer lasting, and safer. It also gives the company new ways to connect with customers across the product life cycle.
Embrace customer-centricity
It’s never been harder to attract, delight, and retain customers than it is today. This is why reshaping the supply chain around customer needs is vital. And developing intelligent fulfilment capabilities is a key part of that process. This requires significant changes across a company’s operating model, infrastructure, and digital ecosystem. It also means rethinking network strategy, warehousing, and transportation to fully meet customer fulfilment expectations.
To do so, leaders must ask themselves:
Is our organization set up to make informed customer-centric decisions today? How can fulfillment operations be more digitally integrated to manage customer expectations in the future?
What investments need to be made across the physical network to power our future operating model and to deliver a great customer experience?
Have we created the right partner ecosystem in warehousing and transportation to deliver tailored and agile fulfillment operations?
Is our supply chain helping us build trust or destroy trust, and can we even tell?
The world is moving quickly, and customers are moving with it. For companies to achieve a competitive advantage, there’s no time to waste in embracing the customer-centric supply chain.
The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."