Grocery shoppers in Australia will soon be able to zip in and out of the store in record time, bypassing the lines for cashiers or self-checkout kiosks altogether. They can just walk in, make their selections, and walk out with their bags in hand.
The secret to this express shopping experience is the “Caper Cart,” an AI (artificial intelligence)-powered smart trolley from San Francisco-based Instacart. In its first deployment in the Asia Pacific (APAC) region, the system is being tested by Coles Supermarkets, a food and beverage retailer with more than 1,800 grocery and liquor stores throughout the country.
To get started, customers simply grab a grocery cart-sized smart trolley at the store’s entrance and begin shopping, depositing the items directly into shopping bags as they go. The Caper Carts use onboard AI, cameras, and a built-in scale to automatically recognize items as they’re added to the trolley. Customers can watch their running total display on a screen—just as if they were shopping online—then swipe their credit card on the trolley’s payment terminal to complete the purchase.
“As the first retailer in Australia to introduce AI-powered trolleys, we’re excited to offer our customers a convenient and engaging way to shop in-store, helping them save time, manage their budget, and check out faster—or at their own pace,” Coles’ chief digital officer, Ben Hassing, said in a release. “The Coles smart trolley illustrates our omnichannel approach, leveraging digital capabilities to enrich the in-store experience.”
It appears to have found that buyer in Aptean, a deep-pocketed firm that is backed by the private equity firms TA Associates, Insight Partners, Charlesbank Capital Partners, and Clearlake Capital Group.
Through the purchase, Aptean will gain Logility’s customer catalog of over 500 clients in 80 countries, spanning the consumer durable goods, apparel/accessories, food and beverage, industrial manufacturing, fast moving consumer goods, wholesale distribution, and chemicals verticals.
Aptean will also now own the firm’s technology, which Logility says includes demand planning, inventory and supply optimization, manufacturing operations, network design, and vendor and sourcing management.
“Logility possesses years of experience helping global organizations design, build, and manage their supply chains” Aptean CEO TVN Reddy said in a release. “The Logility platform delivers a mission-critical suite of AI-powered supply chain planning solutions designed to address even the most complex requirements. We look forward to welcoming Logility’s loyal customers and experienced team to Aptean.”
Netstock included the upgrades in AI Pack, a series of capabilities within the firm’s Predictor Inventory Advisor platform, saying they will unlock supply chain agility and enable SMBs to optimize inventory management with advanced intelligence.
The new tools come as SMBs are navigating an ever-increasing storm of supply chain challenges, even as many of those small companies are still relying on manual processes that limit their visibility and adaptability, the company said.
Despite those challenges, AI adoption among SMBs remains slow. Netstock’s recent Benchmark Report revealed that concerns about data integrity and inconsistent answers are key barriers to AI adoption in logistics, with only 23% of the SMBs surveyed having invested in AI.
Netstock says its new AI Pack is designed to help SMBs overcome these hurdles.
“Many SMBs are still relying on outdated tools like spreadsheets and phone calls to manage their inventory. Dashboards have helped by visualizing the right data, but for lean teams, the sheer volume of information can quickly lead to overload. Even with all the data in front of them, it’s tough to know what to do next,” Barry Kukkuk, CTO at Netstock, said in a release.
“Our latest AI capabilities change that by removing the guesswork and delivering clear, actionable recommendations. This makes decision-making easier, allowing businesses to focus on building stronger supplier relationships and driving strategic growth, rather than getting bogged down in the details of inventory management,” Kukkuk said.
The French transportation visibility provider Shippeo today said it has raised $30 million in financial backing, saying the money will support its accelerated expansion across North America and APAC, while driving enhancements to its “Real-Time Transportation Visibility Platform” product.
The funding round was led by Woven Capital, Toyota’s growth fund, with participation from existing investors: Battery Ventures, Partech, NGP Capital, Bpifrance Digital Venture, LFX Venture Partners, Shift4Good and Yamaha Motor Ventures. With this round, Shippeo’s total funding exceeds $140 million.
Shippeo says it offers real-time shipment tracking across all transport modes, helping companies create sustainable, resilient supply chains. Its platform enables users to reduce logistics-related carbon emissions by making informed trade-offs between modes and carriers based on carbon footprint data.
"Global supply chains are facing unprecedented complexity, and real-time transport visibility is essential for building resilience” Prashant Bothra, Principal at Woven Capital, who is joining the Shippeo board, said in a release. “Shippeo’s platform empowers businesses to proactively address disruptions by transforming fragmented operations into streamlined, data-driven processes across all transport modes, offering precise tracking and predictive ETAs at scale—capabilities that would be resource-intensive to develop in-house. We are excited to support Shippeo’s journey to accelerate digitization while enhancing cost efficiency, planning accuracy, and customer experience across the supply chain.”
ReposiTrak, a global food traceability network operator, will partner with Upshop, a provider of store operations technology for food retailers, to create an end-to-end grocery traceability solution that reaches from the supply chain to the retail store, the firms said today.
The partnership creates a data connection between suppliers and the retail store. It works by integrating Salt Lake City-based ReposiTrak’s network of thousands of suppliers and their traceability shipment data with Austin, Texas-based Upshop’s network of more than 450 retailers and their retail stores.
That accomplishment is important because it will allow food sector trading partners to meet the U.S. FDA’s Food Safety Modernization Act Section 204d (FSMA 204) requirements that they must create and store complete traceability records for certain foods.
And according to ReposiTrak and Upshop, the traceability solution may also unlock potential business benefits. It could do that by creating margin and growth opportunities in stores by connecting supply chain data with store data, thus allowing users to optimize inventory, labor, and customer experience management automation.
"Traceability requires data from the supply chain and – importantly – confirmation at the retail store that the proper and accurate lot code data from each shipment has been captured when the product is received. The missing piece for us has been the supply chain data. ReposiTrak is the leader in capturing and managing supply chain data, starting at the suppliers. Together, we can deliver a single, comprehensive traceability solution," Mark Hawthorne, chief innovation and strategy officer at Upshop, said in a release.
"Once the data is flowing the benefits are compounding. Traceability data can be used to improve food safety, reduce invoice discrepancies, and identify ways to reduce waste and improve efficiencies throughout the store,” Hawthorne said.
Under FSMA 204, retailers are required by law to track Key Data Elements (KDEs) to the store-level for every shipment containing high-risk food items from the Food Traceability List (FTL). ReposiTrak and Upshop say that major industry retailers have made public commitments to traceability, announcing programs that require more traceability data for all food product on a faster timeline. The efforts of those retailers have activated the industry, motivating others to institute traceability programs now, ahead of the FDA’s enforcement deadline of January 20, 2026.
Artificial intelligence (AI) and data science were hot business topics in 2024 and will remain on the front burner in 2025, according to recent research published in AI in Action, a series of technology-focused columns in the MIT Sloan Management Review.
In Five Trends in AI and Data Science for 2025, researchers Tom Davenport and Randy Bean outline ways in which AI and our data-driven culture will continue to shape the business landscape in the coming year. The information comes from a range of recent AI-focused research projects, including the 2025 AI & Data Leadership Executive Benchmark Survey, an annual survey of data, analytics, and AI executives conducted by Bean’s educational firm, Data & AI Leadership Exchange.
The five trends range from the promise of agentic AI to the struggle over which C-suite role should oversee data and AI responsibilities. At a glance, they reveal that:
Leaders will grapple with both the promise and hype around agentic AI. Agentic AI—which handles tasks independently—is on the rise, in the form of generative AI bots that can perform some content-creation tasks. But the authors say it will be a while before such tools can handle major tasks—like make a travel reservation or conduct a banking transaction.
The time has come to measure results from generative AI experiments. The authors say very few companies are carefully measuring productivity gains from AI projects—particularly when it comes to figuring out what their knowledge-based workers are doing with the freed-up time those projects provide. Doing so is vital to profiting from AI investments.
The reality about data-driven culture sets in. The authors found that 92% of survey respondents feel that cultural and change management challenges are the primary barriers to becoming data- and AI-driven—indicating that the shift to AI is about much more than just the technology.
Unstructured data is important again. The ability to apply Generative AI tools to manage unstructured data—such as text, images, and video—is putting a renewed focus on getting all that data into shape, which takes a whole lot of human effort. As the authors explain “organizations need to pick the best examples of each document type, tag or graph the content, and get it loaded into the system.” And many companies simply aren’t there yet.
Who should run data and AI? Expect continued struggle. Should these roles be concentrated on the business or tech side of the organization? Opinions differ, and as the roles themselves continue to evolve, the authors say companies should expect to continue to wrestle with responsibilities and reporting structures.