While Big Retailers Chased AI Headlines, Family Grocer Schnucks Actually Built It
A family-owned chain from St. Louis has quietly built one of the most comprehensive AI deployments in American grocery retail.
The retail AI conversation begins and ends with the same two names. Walmart's agentic commerce ambitions, Amazon's Rufus shopping assistant, and the AI infrastructure investments of the country's two largest retailers dominate coverage of what is happening at the intersection of grocery and artificial intelligence.
Meanwhile, a family-owned chain from St. Louis with 114 stores and nearly 12,000 employees has quietly built one of the most comprehensive AI deployments in American grocery retail. It has been doing so since 2017.
The chain is Schnucks. Most people outside Missouri, Illinois, Indiana, and Wisconsin have never heard of it. That is the point.
The Robot That Started It All
In 2017, Schnucks began piloting Tally, an autonomous aisle-scanning robot from Simbe Robotics, at three stores. The device traverses store aisles up to three times a day, using sensors to capture inventory levels, price accuracy, and promotional execution across every shelf in the store.
By 2021, Schnucks had expanded Tally to all 111 of its stores, claiming the title of first grocer in the world to use AI-powered inventory management technology at scale. The claim has stood.
The results validated the investment. Tally identifies out-of-stock items 14 times more efficiently than manual scans by human associates and has reduced out-of-stocks between 20 and 30 percent depending on the category, according to the company.
Dave Steck, Ex-VP of IT Store and Emerging Technologies at Schnucks, described what the robots revealed: "It's giving us opportunities to find other places in the supply chain that we thought were working."
Schnucks subsequently extended Tally's remit beyond dry goods to cover fresh and refrigerated products, categories where out-of-stocks are harder to detect and more consequential. Today, Tally operates in all 114 stores, covering the full store footprint three times every day.
Fresh Food, Forecasting, and the Problem AI Actually Solved
Inventory robots solve a visibility problem. Fresh food operations require something harder — prediction.
In September 2025, Schnucks announced the chainwide deployment of Logile's Fresh Item Management Solutions across all 114 stores. The system uses AI and machine learning to handle fresh production and ingredient forecasting, production planning, recipe and nutrition management, grind management, and yield management.
It replaces a process that previously relied on manual judgment and accumulated experience, embedding data-driven decision-making into every fresh department in every store.
"These production planning and fresh item management solutions integrate seamlessly with Logile's Connected Workforce Platform, aligning fresh food operations with store execution management to deliver a fully optimized in-store experience," said Tom Henry, Chief Data and Information Officer at Schnucks.
He said that with these advanced capabilities, Schnucks has improved demand visibility, enhanced forecasting accuracy and ensured their customers receive fresh food at its peak flavor, while minimizing waste and markdowns.
Kim Anderson, VP of Store Operations Support at Schnucks, described the transformation at the store level: "Digitizing these key processes and seamlessly integrating them into our daily operations has made a profound difference. We can now make smarter, more informed decisions."
Fresh food forecasting is among the hardest operational problems in grocery retail. Overproduction creates waste and margin erosion. Underproduction creates empty cases and disappointed customers. AI-based forecasting addresses both simultaneously. Schnucks deploying it across 114 stores is an enterprise commitment.
The Smart Cart and the Customer Experience Layer
While Tally and Logile address the operational back end, Schnucks has been simultaneously building the customer-facing layer.
Starting in April 2024, Schnucks began piloting Instacart's Caper Carts, AI-powered smart carts equipped with four cameras that identify items as they are placed inside, track produce weights, flag age-restricted purchases, and enable in-aisle payment without visiting a checkout station.
By early 2025, Schnucks was expanding the technology to five additional high-volume stores across Missouri and Illinois.
Chace MacMullan, Schnucks Senior Director of Digital Experience, described the adoption curve simply saying, "This is the only way some customers will shop now."
Schnucks also rolled out Instacart's Carrot Tags pick-to-light functionality in July 2024, allowing shelf labels to flash when a customer searches for an item in the Schnucks Rewards app.
The chain claims to be the first grocery chain in the country to have electronic shelf labels installed in every single store, a deployment that unlocks real-time pricing flexibility, eliminates printed tag cycles, and integrates directly with both Tally's inventory data and the smart cart experience.
With multiple AI systems generating data across every store, Schnucks needed a way to bring it all together. In December 2025, the company announced an enterprise data platform built with Domo.
The platform aggregates data from HR, finance, marketing, operations, merchandising, and supply chain into a single centralized system, replacing manual spreadsheet-based reporting that had previously left departments working from misaligned data.
Store teams use the platform daily to optimize staffing, production, and customer service. Colin Lloyd, Director of Business Analytics at Schnucks, described the shift in how the organization thinks about data saying, "We no longer ask 'What were my sales yesterday?' but focus on 'What do I need to do moving forward to improve the customer experience?'"
Schnucks is preparing to integrate Domo.AI to deliver AI-powered insights to frontline employees in real time, extending the platform's reach from management dashboards to the store floor.
Schnucks has consistently invested in data and technology leadership at a level that punches well above its size.
Tom Henry, promoted to Chief Data and Information Officer in December 2024, joined Schnucks in 2019 from Express Scripts and built the data and analytics organization from the ground up. His predecessor, Bob Hardester, spent a decade as CIO and architected the foundational technology investments that made subsequent AI deployments possible.
"As Tom assumes this new role, he will further solidify our position as a recognized innovator in our industry," said CEO Todd Schnuck.
Schnucks is ranked 66th on Progressive Grocer's list of the top food and consumables retailers in North America. It is the 13th largest privately-owned grocer in the United States. It operates in four states.
But scale is precisely the wrong lens for understanding where the most operationally significant retail AI is happening. Schnucks has been running AI-powered inventory robots in every store for more than three years. It has deployed AI fresh food forecasting across its entire network.
It has smart carts in pilot expansion. It has electronic shelf labels everywhere. It has a unified AI data platform connecting every department.
The retailers dominating the conversation about AI like Walmart, Amazon, and Target, have the resources to move faster and eventually deploy at a scale Schnucks cannot match. But they are also large enough that any single deployment remains a fraction of their overall operation.
At Schnucks, every deployment is chainwide. There is no pilot that does not become production.