Omnichannel retailing, or using store inventory to fill e-commerce orders, is one of today's hottest trends. Here are two technologies that can help companies operate in this new environment.
Anyone in the supply chain world who's attended a conference or leafed through a supply chain journal this year is aware that the consumer goods industry is obsessed with "omnichannel fulfillment." The concept of omnichannel fulfillment encompasses many things, but at the top of the list is the ability for a retailer to use store inventory to fill e-commerce orders in certain situations.
I don't recall the industry being this focused on a single idea since the days of the Wal-Mart-driven radio frequency identification (RFID) mandates in the mid-2000s. This current trend is, of course, different from the RFID craze in a key way: RFID in its initial iterations was a technology without a business case, while for many retailers, omnichannel fulfillment initially was a business concept that lacked a supporting technology set.
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[Figure 1] Technologies that support omnichannel commerceEnlarge this image
The good news, however, is the emergence of two key technologies that are now being used by a number of pioneering retailers with success. The first, distributed order management (DOM) software, handles the complex task of determining which orders to fill from distribution center (DC) inventory versus store inventory. The second, a modified version of warehouse management software (WMS) called "in-store WMS," enables the execution of those orders, which includes picking, packing, and shipping from the store. Figure 1 outlines the capabilities of the two solutions.
Distributed order management
DOM technology itself is not new. It was developed at least a decade ago and, for a long time, was primarily used as a way to allocate in-transit inventory to customer orders before it actually arrived at the warehouse. This technology has been very successfully adapted to the task of deciding when to use store inventory to fill e-commerce orders. Manhattan Associates, one of the early pioneers of DOM, has reported that numerous large apparel retailers have rolled it out to support their omnichannel strategies. Most of these retailers declined to be mentioned in this article, as they view their use of distributed order management as a competitive differentiator, but having seen the list, I can attest that it's an impressive one. One retailer that has gone public with DOM deployment is Lilly Pulitzer, which has used that software to expand its market reach and drive online traffic to its stores.
Another early pioneer of DOM technology was Yantra, first acquired by Sterling Commerce in 2004 and then by IBM in 2010. Although IBM has not been visibly promoting DOM recently, a number of high-profile retailers use the application. One retailer, Cabela's, has been using the solution since at least 2007.
There also are examples of companies that have achieved distributed order management capabilities without using an "off-the-shelf" application. For example, Stage Stores, parent company of Bealls and Peebles department stores, deployed Oracle in 2003 to perform a number of supply chain functions. The company has configured Oracle to help make decisions about when to fill e-commerce orders from the DC versus using store employees and inventory.
Gough Grubbs, senior vice president of distribution and logistics for Stage Stores, stressed that the company's omnichannel strategy is shifting rapidly. "While there is a high level of satisfaction with the fact that our systems provide us a choice in whether to fulfill orders from the stores or the DC, the preference is changing as our online business grows and profitability track records provide better direction," he said in an interview. "Contrary to a recent article publicizing another retailer's shift to increase store fulfillment of online orders, Stage Stores is shifting more toward DC fulfillment. We don't believe there is a common one-size-fits-all solution across retailers. The answer varies by retailer based on store size, depth of product, and location."
Sears has also been leading the charge with a robust technology set to support its omnichannel distribution strategy. The company uses an internally developed system to perform distributed order management. It has actually developed one of the most advanced sets of rules that I have seen for omnichannel retailing.
Most omnichannel retailers favor using either DC- or store-based inventory and using distributed order management software to manage the exceptions to those rules. For example, Cabela's first seeks to use distribution center inventory and only goes to the stores as a last resort if the DC is out of a product. Stage Stores currently chooses to use store inventory whenever possible and only fulfills an e-commerce order from the DC if there is no other choice. But, as Gough Grubbs noted earlier, this strategy is shifting more toward the DC. Unlike these retailers, Sears uses a more nuanced approach and calculates the lowest-cost fulfillment path on an order-by-order basis to determine how to best source that particular order. There is no preference for either the DC or the stores—simply a preference for the most efficient fulfillment method.
For the time being, Manhattan Associates seems to be the dominant player in DOM technology—the only major player that is actively promoting a (relatively) mature DOM platform. However, Manhattan can expect to have some company soon. JDA (formerly RedPrairie) reports that it will roll out an integrated DOM system with interfaces to WMS in the fall. It wouldn't be surprising to see some mid-tier software providers roll out DOM platforms soon as well, providing a less costly alternative aimed at mid-market customers.
In-store WMS
Once a decision has been made to fill an order from a retail store, it becomes critical for retail workers to be able to efficiently and accurately pick, pack, and ship it. Many retailers are deploying modified versions of warehouse management software in their stores to make this possible.
Sears is an excellent example. The company has been quietly building out an omnichannel network leveraging store inventory and can now serve 81 percent of the U.S. population via one-day ground delivery service. As part of this strategy, Sears recently began a pilot program using Highjump's WMS as the execution engine for picking these orders. The company realized that the average retail store worker represents a different demographic than the average warehouse worker: probably younger, less experienced with the concept of picking orders, and more familiar with a different generation of technology. Sears recognized these differences and chose to deploy the in-store Highjump WMS on iPads, using ring-style bar-code scanners. "The technology, which uses touchscreen user interfaces, is familiar to the average store worker, which reduces training time and improves pick speed," Jeff Starecheski, vice president of logistics services at Sears Holdings, told me.
The store planogram is loaded into the WMS, and workers are directed to pick orders by department, using a "cluster pick" methodology more often seen in a warehouse than in a retail store. During the most recent holiday season, Sears was able to process hundreds of orders per day from the store network and filled greater than 99 percent of those using two-day ground service.
Other software vendors have reported successfully adapting their WMS for retail store use. Manhattan Associates released an in-store inventory and fulfillment system module two years ago, drawing heavily on its WMS heritage. The company now reports more than 4,000 store locations currently using the software, which features touchscreen interfaces tailored to younger workers.
Retailers that are developing an omnichannel fulfillment strategy have no shortage of technology solutions to provide decision-support and execution capabilities. The coming year will likely see additional software vendors enter the market with offerings, adapting their WMS systems to support store fulfillment as well as developing distributed order management capabilities, thus allowing retailers to take flexibility and service to a new level for consumers.
Businesses engaged in international trade face three major supply chain hurdles as they head into 2025: the disruptions caused by Chinese New Year (CNY), the looming threat of potential tariffs on foreign-made products that could be imposed by the incoming Trump Administration, and the unresolved contract negotiations between the International Longshoremen’s Association (ILA) and the U.S. Maritime Alliance (USMX), according to an analysis from trucking and logistics provider Averitt.
Each of those factors could lead to significant shipping delays, production slowdowns, and increased costs, Averitt said.
First, Chinese New Year 2025 begins on January 29, prompting factories across China and other regions to shut down for weeks, typically causing production to halt and freight demand to skyrocket. The ripple effects can range from increased shipping costs to extended lead times, disrupting even the most well-planned operations. To prepare for that event, shippers should place orders early, build inventory buffers, secure freight space in advance, diversify shipping modes, and communicate with logistics providers, Averitt said.
Second, new or increased tariffs on foreign-made goods could drive up the cost of imports, disrupt established supply chains, and create uncertainty in the marketplace. In turn, shippers may face freight rate volatility and capacity constraints as businesses rush to stockpile inventory ahead of tariff deadlines. To navigate these challenges, shippers should prepare advance shipments and inventory stockpiling, diversity sourcing, negotiate supplier agreements, explore domestic production, and leverage financial strategies.
Third, unresolved contract negotiations between the ILA and the USMX will come to a head by January 15, when the current contract expires. Labor action or strikes could cause severe disruptions at East and Gulf Coast ports, triggering widespread delays and bottlenecks across the supply chain. To prepare for the worst, shippers should adopt a similar strategy to the other potential January threats: collaborate early, secure freight, diversify supply chains, and monitor policy changes.
According to Averitt, companies can cushion the impact of all three challenges by deploying a seamless, end-to-end solution covering the entire path from customs clearance to final-mile delivery. That strategy can help businesses to store inventory closer to their customers, mitigate delays, and reduce costs associated with supply chain disruptions. And combined with proactive communication and real-time visibility tools, the approach allows companies to maintain control and keep their supply chains resilient in the face of global uncertainties, Averitt said.
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."
Businesses are cautiously optimistic as peak holiday shipping season draws near, with many anticipating year-over-year sales increases as they continue to battle challenging supply chain conditions.
That’s according to the DHL 2024 Peak Season Shipping Survey, released today by express shipping service provider DHL Express U.S. The company surveyed small and medium-sized enterprises (SMEs) to gauge their holiday business outlook compared to last year and found that a mix of optimism and “strategic caution” prevail ahead of this year’s peak.
Nearly half (48%) of the SMEs surveyed said they expect higher holiday sales compared to 2023, while 44% said they expect sales to remain on par with last year, and just 8% said they foresee a decline. Respondents said the main challenges to hitting those goals are supply chain problems (35%), inflation and fluctuating consumer demand (34%), staffing (16%), and inventory challenges (14%).
But respondents said they have strategies in place to tackle those issues. Many said they began preparing for holiday season earlier this year—with 45% saying they started planning in Q2 or earlier, up from 39% last year. Other strategies include expanding into international markets (35%) and leveraging holiday discounts (32%).
Sixty percent of respondents said they will prioritize personalized customer service as a way to enhance customer interactions and loyalty this year. Still others said they will invest in enhanced web and mobile experiences (23%) and eco-friendly practices (13%) to draw customers this holiday season.
The practice consists of 5,000 professionals from Accenture and from Avanade—the consulting firm’s joint venture with Microsoft. They will be supported by Microsoft product specialists who will work closely with the Accenture Center for Advanced AI. Together, that group will collaborate on AI and Copilot agent templates, extensions, plugins, and connectors to help organizations leverage their data and gen AI to reduce costs, improve efficiencies and drive growth, they said on Thursday.
Accenture and Avanade say they have already developed some AI tools for these applications. For example, a supplier discovery and risk agent can deliver real-time market insights, agile supply chain responses, and better vendor selection, which could result in up to 15% cost savings. And a procure-to-pay agent could improve efficiency by up to 40% and enhance vendor relations and satisfaction by addressing urgent payment requirements and avoiding disruptions of key services
Likewise, they have also built solutions for clients using Microsoft 365 Copilot technology. For example, they have created Copilots for a variety of industries and functions including finance, manufacturing, supply chain, retail, and consumer goods and healthcare.
Another part of the new practice will be educating clients how to use the technology, using an “Azure Generative AI Engineer Nanodegree program” to teach users how to design, build, and operationalize AI-driven applications on Azure, Microsoft’s cloud computing platform. The online classes will teach learners how to use AI models to solve real-world problems through automation, data insights, and generative AI solutions, the firms said.
“We are pleased to deepen our collaboration with Accenture to help our mutual customers develop AI-first business processes responsibly and securely, while helping them drive market differentiation,” Judson Althoff, executive vice president and chief commercial officer at Microsoft, said in a release. “By bringing together Copilots and human ambition, paired with the autonomous capabilities of an agent, we can accelerate AI transformation for organizations across industries and help them realize successful business outcomes through pragmatic innovation.”