For the past five years, the growth of online sales has significantly outpaced that of comparable-store sales for brick-and-mortar stores, a trend that is anticipated to continue. The difference is significant: According to the U.S. Census Bureau, in 2014, e-commerce grew at a rate of 14 percent versus only 2 percent for traditional retail outlets.1
This continuing growth is making it challenging for retailers to effectively manage their supply chains to profitably fulfill orders. Specifically, the increase in e-commerce transactions is forcing them to manage smaller, more frequent orders, thereby shifting the focus of retail distribution centers from pallet picking for store replenishment to single-item picking for orders shipped directly to a customer's home. This effect is compounded by the rising expectations of consumers who want their orders delivered quickly, which often requires retailers to do more work in less time. To help them meet these and other challenges associated with fulfilling e-commerce orders, retailers are adopting a variety of strategies and technologies.
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[Figure 1] Fulfillment methods used by leading retailersEnlarge this image
Store-based fulfillment
One way many retailers are beginning to address these challenges is by fulfilling a subset of orders through their stores. Deloitte recently surveyed over 60 leading retailers to determine which methods they are using to fill e-commerce orders. The results, outlined in the report Retail Omni-Channel Survey, 2015 and detailed in Figure 1, show that a significant number of retailers either already offer or plan to offer consumer-direct fulfillment methods through their stores, including "pickup in store" (94 percent), "ship to store for pickup" (91 percent), and "ship from store" (82 percent).
Retailers are realizing significant benefits from these store-based fulfillment techniques. For example, by leveraging inventory across the enterprise, they may be in a position to improve margins and revenue. This allows them, for instance, to fulfill online orders using inventory that would otherwise be marked down, and thus reduce the impact of an imperfect demand forecast. In the case of constrained inventory, sales associates in the store are able to "save the sale" by tapping into inventory in other stores and having product shipped directly to customers.
Another potential benefit of store-based fulfillment is the additional capacity that brick-and-mortar stores provide. Many retailers' distribution centers are operating at maximum capacity due to large volumes of e-commerce orders, especially during peak seasons. By leveraging their stores as storage and delivery locations, some retailers have been able to defer investing capital in building additional distribution centers.
Finally, because stores may be located closer to the customer than distribution centers, store fulfillment may allow faster order-to-delivery times. Deloitte's survey, for example, found that the average time to fulfill an e-commerce order from order placement to customer delivery through a store was three and a half days versus four days through a distribution center. Delivery speed is a critical factor in online purchasing decisions, and customers increasingly are willing to pay more for premium fulfillment services such as same-day delivery. The quicker delivery times that store-based fulfillment can offer enables retailers to compete based on time without having to pay for expedited shipping services.
Capacity growth and delivery alternatives
In many respects, the continued growth of e-commerce is likely to depend on goods consistently arriving on consumers' doorsteps on time and at the right price. That may partly explain why the two largest national parcel delivery companies still account for the majority of the volume of e-commerce deliveries: They have a reputation for reliability, and there is a concern among shippers that diversification of the carriers they use would negatively affect their negotiated volume discounts. In response, these two carriers are investing heavily in keeping up with demand. One of these companies alone spent over US $1 billion in 2014 to expand its ground capability, much of that intended to meet e-commerce demand.
At the same time, customers' expectations that shipping charges for e-commerce orders should be minimal to nonexistent have driven many top retailers to offer some variation on "free shipping." But increases in shipping costs due to growing parcel volumes coupled with the largest parcel carriers' new dimensional weight freight-pricing formulas are causing these companies to explore alternative delivery options. In particular, many retailers are looking at using regional players for certain deliveries rather than simply defaulting to the traditional big carriers. Package consolidators, which utilize their own network and then hand off packages to the U.S. Postal Service for last-mile deliveries, are also filling the gap. The national parcel carriers' reliability advantage is also shrinking as tracking software becomes more pervasive and packages are scanned more times as they go through the shipping process.
Finally, some retailers are beginning to shift from a common carrier model to a hybrid model that includes a private fleet component. In a highly publicized move, one large online retailer took the step of launching its own fleet in selected cities. If this model is seen as working effectively, many other e-commerce retailers may follow suit. This trend is supported by findings from Deloitte's Retail Omni-channel Survey, which show that 30 percent of retailers already employ some form of owned fleet, with an additional 12 percent planning to add this capability in the next two years.
Technology implications
In order to effectively capitalize on these trends, retailers are investing in new capabilities, many of them based on technologies that are designed to improve how supply chain data are collected, analyzed, and shared within and beyond the enterprise. Here are four that are emerging as "building blocks" that enable effective management of e-commerce logistics and distribution:
Item-level radio frequency identification (RFID). It is inherently more difficult to manage inventory accuracy at stores than at distribution centers. Still, when retailers accept an online order, they need to be confident that the merchandise will be available in the designated store for pickup or to ship from the store to the customer. This is important because retailers want to avoid the expense associated with having to send split shipments, which result when, due to inventory inaccuracies, an item that is supposed to comprise part of a multi-item order cannot be located at the intended shipping or pickup location. To help solve this problem and better track inventory within the store, many retailers are starting to implement item-level RFID, especially for categories like shoes where inventory is commonly split between the front of the store and the backroom.
Collaborative inventory planning. Fulfilling orders from stores adds complexity to retailers' historical challenge of having the right product in the right store at the right time. Direct-to-store and especially direct-to-customer drop-ship deliveries, which enable retailers to offer a broader range of merchandise, have become increasingly beneficial. To help manage these activities, many retailers have started jointly planning inventory deployments with key vendors. They are able to do this by using collaborative inventory planning platforms that give all parties real-time or near real-time access to planning information, such as current inventory levels, expected demand, and expected shipments.
Distributed order management. To leverage inventory and capacity, retailers need a system that has visibility to inventory across the enterprise as well as to orders from multiple selling channels. Distributed order management (DOM) solutions can provide intelligent sourcing engines to determine the best fulfillment location for an order based on a broad set of parameters, including inventory availability, capacity, and potential margin. As the number of fulfillment points grows, configurable business rules are required to prioritize inventory and determine how those orders should be fulfilled while taking into account customer promise date, order type, and margin targets.
Transportation management system (TMS) integration. With shipping costs often accounting for one of the top three expenses for most e-commerce retailers, the ability to leverage shipping decisions across the organization, including from stores, will likely have a direct impact on the bottom line. To be most effective, transportation management systems must be integrated with order management capabilities to ensure that both inventory and transportation costs are considered together when making fulfillment decisions. Additionally, these systems should potentially enhance the ability to provide proof of delivery and better tracking information corresponding with the product shipped from the store.
Adapt now to store-based fulfillment
From a supply chain perspective, one of the most important trends in e-commerce today is the shift toward store-based fulfillment. While this shift often provides many advantages for retailers that sell online, including lower inventory requirements, lower costs, and better customer service, store-based fulfillment is complex to execute. For many retailers it is resulting in a significant business transformation—affecting everything from how they physically ship products to the technology required to manage order fulfillment processes.
These changes are drastic and take time to fully implement. Retailers that adapt to this trend now will likely be in a better position to profitably serve their online and in-store customers while remaining relevant in a fast-changing, competitive retail environment.
Benefits for Amazon's customers--who include marketplace retailers and logistics services customers, as well as companies who use its Amazon Web Services (AWS) platform and the e-commerce shoppers who buy goods on the website--will include generative AI (Gen AI) solutions that offer real-world value, the company said.
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."