As more retailers grapple with the challenges of in-store order fulfillment, they're turning to software once used strictly within the confines of the DC.
James Cooke is a principal analyst with Nucleus Research in Boston, covering supply chain planning software. He was previously the editor of CSCMP?s Supply Chain Quarterly and a staff writer for DC Velocity.
Not so long ago, the use of labor management software (LMS) was pretty much limited to warehouses and distribution centers, where it managed the activities of workers who pick, pack, and ship orders. But that's no longer the case. As more retailers begin filling Internet orders from store inventories, they're starting to use the software to oversee those same activities within their retail outlets.
As the name suggests, labor management software is designed to measure individual worker activity—say, item or case picking or putaway—against a preset standard. Traditionally, the systems have measured performance using "time stamps" recorded via bar-code swipes—for instance, when a warehouse worker removes a case from storage, he or she scans the bar code on the box, creating a time stamp for that activity. That allows the worker's actual performance to be compared against a "target time" or benchmark, so that any deficiencies can be identified and addressed. Some of the newer systems rely on signals from real-time location systems, rather than bar-code scans, to track activity. (See "Equipment makers eyeing LMS market?" November 2013.)
Although labor management systems have been around since the late '80s, their use really took off during the economic downturn as companies sought ways to rev up throughput without hiring additional workers. Now, it appears these systems are about to get a similar boost from the omnichannel revolution—the push by retailers to sell merchandise through multiple channels, both digital and physical.
There are a couple of reasons for that. First off, the omnichannel phenomenon has changed the game in retail DCs. Operations that once primarily filled orders for pallet and case quantities are suddenly finding themselves picking a lot more individual items, which is significantly more labor-intensive (and thus, costly). "With the omnichannel push, companies are finding that there are increased labor requirements with the discrete order picking that is the hallmark of direct-to-consumer fulfillment," says Jason Franklin, director of sales engineering at Knighted, an Intelligrated Company. That's led many retailers to turn to an LMS to make their distribution operations more efficient, he says.
The other part of the story is that order fulfillment is no longer the sole province of warehouses and DCs. With the advent of the omnichannel revolution, more retailers are filling orders placed online from their store stocks—which means some store workers now find themselves picking merchandise from the back room or front of the store and packing the orders for shipment. But order fulfillment and shipping has proved a huge challenge for stores, which may not be set up or outfitted to handle these tasks. A recent survey conducted by DC Velocity in conjunction with the ARC Advisory Group found that store fulfillment activities overwhelmingly lack the efficiency and precision of execution found in a DC.
So it's probably no surprise that software vendors like Manhattan Associates and JDA are seeing more retailers employing labor management systems within their stores to manage in-store picking. Typically, the LMS is linked to the store's order management system. "As retailers start to perform new processes within the store in support of omnichannel commerce—like pickup from the store or fulfillment from a store—a bigger percentage of store budget will go to nonsales-type activities and processes," says Peter Schnorbach, senior director of product management at Manhattan. "That's going to drive retailers to want to optimize processes and manage them just the way they do in the warehouse. They want to measure how long it takes to do things. They want to put standard processes in place across all stores in their network."
As retailers seek to bring their in-store fulfillment operations up to DC standards, look for more of them to invest in labor management software to help manage store workers. "The smart retailers are trying to figure out how to establish a repeatable process that they can put into every store," says Schnorbach. "They have to bring the discipline that exists in their warehouse into the store if they want to do this [omnichannel fulfillment] well."
The New Hampshire-based cargo terminal orchestration technology vendor Lynxis LLC today said it has acquired Tedivo LLC, a provider of software to visualize and streamline vessel operations at marine terminals.
According to Lynxis, the deal strengthens its digitalization offerings for the global maritime industry, empowering shipping lines and terminal operators to drastically reduce vessel departure delays, mis-stowed containers and unsafe stowage conditions aboard cargo ships.
Terms of the deal were not disclosed.
More specifically, the move will enable key stakeholders to simplify stowage planning, improve data visualization, and optimize vessel operations to reduce costly delays, Lynxis CEO Larry Cuddy Jr. said in a release.
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."
The Dutch ship building company Concordia Damen has worked with four partner firms to build two specialized vessels that will serve the offshore wind industry by transporting large, and ever growing, wind turbine components, the company said today.
The first ship, Rotra Horizon, launched yesterday at Jiangsu Zhenjiang Shipyard, and its sister ship, Rotra Futura, is expected to be delivered to client Amasus in 2025. The project involved a five-way collaboration between Concordia Damen and Amasus, deugro Danmark, Siemens Gamesa, and DEKC Maritime.
The design of the 550-foot Rotra Futura and Rotra Horizon builds on the previous vessels Rotra Mare and Rotra Vente, which were also developed by Concordia Damen, and have been operating since 2016. However, the new vessels are equipped for the latest generation of wind turbine components, which are becoming larger and heavier. They can handle that increased load with a Roll-On/Roll-Off (RO/RO) design, specialized ramps, and three Liebherr cranes, allowing turbine blades to be stowed in three tiers, providing greater flexibility in loading methods and cargo configurations.
“For the Rotra Futura and Rotra Horizon, we, along with our partners, have focused extensively on energy savings and an environmentally friendly design,” Concordia Damen Managing Director Chris Kornet said in a release. “The aerodynamic and hydro-optimized hull design, combined with a special low-resistance coating, contributes to lower fuel consumption. Furthermore, the vessels are equipped with an advanced Wärtsilä main engine, which consumes 15 percent less fuel and has a smaller CO₂ emission footprint than current standards.”
The Port of Oakland has been awarded $50 million from the U.S. Department of Transportation’s Maritime Administration (MARAD) to modernize wharves and terminal infrastructure at its Outer Harbor facility, the port said today.
Those upgrades would enable the Outer Harbor to accommodate Ultra Large Container Vessels (ULCVs), which are now a regular part of the shipping fleet calling on West Coast ports. Each of these ships has a handling capacity of up to 24,000 TEUs (20-foot containers) but are currently restricted at portions of Oakland’s Outer Harbor by aging wharves which were originally designed for smaller ships.
According to the port, those changes will let it handle newer, larger vessels, which are more efficient, cost effective, and environmentally cleaner to operate than older ships. Specific investments for the project will include: wharf strengthening, structural repairs, replacing container crane rails, adding support piles, strengthening support beams, and replacing electrical bus bar system to accommodate larger ship-to-shore cranes.
The Florida logistics technology startup OneRail has raised $42 million in venture backing to lift the fulfillment software company its next level of growth, the company said today.
The “series C” round was led by Los Angeles-based Aliment Capital, with additional participation from new investors eGateway Capital and Florida Opportunity Fund, as well as current investors Arsenal Growth Equity, Piva Capital, Bullpen Capital, Las Olas Venture Capital, Chicago Ventures, Gaingels and Mana Ventures. According to OneRail, the funding comes amidst a challenging funding environment where venture capital funding in the logistics sector has seen a 90% decline over the past two years.
The latest infusion follows the firm’s $33 million Series B round in 2022, and its move earlier in 2024 to acquire the Vancouver, Canada-based company Orderbot, a provider of enterprise inventory and distributed order management (DOM) software.
Orlando-based OneRail says its omnichannel fulfillment solution pairs its OmniPoint cloud software with a logistics as a service platform and a real-time, connected network of 12 million drivers. The firm says that its OmniPointsoftware automates fulfillment orchestration and last mile logistics, intelligently selecting the right place to fulfill inventory from, the right shipping mode, and the right carrier to optimize every order.
“This new funding round enables us to deepen our decision logic upstream in the order process to help solve some of the acute challenges facing retailers and wholesalers, such as order sourcing logic defaulting to closest store to customer to fulfill inventory from, which leads to split orders, out-of-stocks, or worse, cancelled orders,” OneRail Founder and CEO Bill Catania said in a release. “OneRail has revolutionized that process with a dynamic fulfillment solution that quickly finds available inventory in full, from an array of stores or warehouses within a localized radius of the customer, to meet the delivery promise, which ultimately transforms the end-customer experience.”