US startup Anchr has secured $5.8 million in seed funding to develop what it says is the first end-to-end AI-native operating system for grocers, targeting one of the most operationally complex but technologically underserved sectors of the global supply chain.
The funding round was supported by a16z Speedrun, Anterra Capital, Offline Ventures, Long Journey Ventures, as well as several industry leaders affiliated with OpenAI. The investment will support the company’s development of an integrated artificial intelligence platform designed to automate operational workflows across sales, purchasing, inventory management, finance and logistics.
The company argues that despite the enormous size of the food distribution industry, which moves hundreds of billions of dollars’ worth of perishable goods annually, much of its operational infrastructure remains heavily reliant on outdated technology and manual processes.
Grocers act as a crucial backbone between producers and the hospitality industry, ensuring that restaurants, supermarkets and catering companies receive fresh goods every day. Yet many companies still rely on text messaging, spreadsheets, and outdated enterprise systems that were developed decades ago.
Traditional enterprise resource planning (ERP) systems typically record historical transactions but lack the ability to analyze real-time conditions or automate operational decisions.
This means that key activities such as purchasing decisions, inventory management and financial reconciliation often require significant manual work. For companies operating on low single-digit profit margins, inefficiencies in these processes can significantly impact profitability.
The founders of Anchr believe that artificial intelligence can fundamentally change the way these operations work.
“The biggest opportunity to leverage AI is not in industries with modern infrastructure,” said Tzar Taraporvala, co-founder and co-CEO of Anchr.
“It’s buried deep in the operational backbone of the economy. Grocers manage millions of dollars in inventory with systems that were never designed to handle today’s complexities.”
Rather than replacing existing ERP platforms, Anchr’s system acts as a layer on top, embedding AI-powered digital assistants or “AI teammates” across multiple operational departments.
By integrating data across departments, the system enables a continuous flow of information throughout the organization, eliminating the fragmented workflows that often plague companies in the supply chain.
Work that previously required hours of manual intervention, such as entering orders received via email or SMS, can be performed automatically by the platform, sharing contextual information across the organization.
Early adopters of the Anchr platform are already reporting measurable increases in efficiency.
One customer regained around 40 percent of the daily working time of a team of eight sales employees by automating order receipt via email and SMS.
Another retailer was able to reduce old inventory write-off by $30,000 in a single month by leveraging AI-generated purchasing insights based on live demand signals.
In another example, a retailer used the system’s menu analysis capabilities to identify upselling opportunities. By searching restaurant menus and product catalogs, the AI recommended additional items to include in orders, increasing the average cart size by around $65 per order across 4,000 annual orders.
For companies operating in low-margin industries such as food distribution, even relatively small operational improvements can result in significant financial gains.
The idea for Anchr came directly from the founders’ experience with operational inefficiencies within the supply chain.
Co-founders Tzar Taraporvala and Smayan Mehra, who have worked together for more than two decades, began investigating technology gaps in the supply chain after observing how isolated many enterprise systems remained.
Their research intensified when they worked with a Boston-based fishmonger and spent several months observing the daily operations within the company.
They discovered that many operational processes were still handled manually. Orders were often entered into ERP systems in the early hours of the morning, purchasing decisions were based on separate spreadsheets, and finance teams often had to reconcile invoices across multiple software platforms.
The founders concluded that the problem was not simply technological, but structural.
“The pain was structural, daily and costly,” the company said.
Anchr’s early momentum was remarkable. During its 12 weeks of participation in the Speedrun accelerator program, the startup reported seven-figure revenue.
Its customer base already includes both regional distributors and a publicly traded food distribution company that generates annual sales of approximately $5 billion.
This rapid adoption reflects the growing demand for automation in a sector where operational complexity continues to increase.
From ERP to ERA: the next evolutionary stage of business software
The company believes its technology represents the next phase in enterprise software development.
The founders describe the transition as moving from traditional Enterprise Resource Planning (ERP) systems to what they call Enterprise Resource Automation (ERA).
“If the first era of enterprise software digitized record keeping, we believe the next era will automate it,” said Smayan Mehra, co-founder and co-CEO.
In this model, enterprise software not only tracks data but actively executes workflows and decision-making processes in real time.
Looking forward, Anchr plans to expand automation capabilities to all aspects of distribution operations, eventually becoming a central coordination system for inventory, capital and logistics decisions.
The founders believe the technology has applications beyond food distribution, particularly in industries that transport physical goods across fragmented supply chains.
By integrating operational data across departments, the platform aims to create a new type of AI-native system of record based on the actual work done by organizations.
Investors backing the company say the potential lies in the overall impact of linking operational functions.
“When sales, purchasing, inventory and finance have the same context, the entire business runs differently,” said Troy Kirwin of a16z Speedrun.
“Anchr is building an AI-native operations layer that transforms fragmented processes into integrated workflows.”
Despite the size of global logistics and distribution networks, many supply chain sectors are technologically underdeveloped compared to consumer technology and finance.
Food distribution, in particular, presents a particular challenge as it involves large amounts of perishable inventory, tight margins and fast-moving operational decisions.
As artificial intelligence continues to move beyond productivity tools toward full operational automation, startups like Anchr predict that some of the biggest gains will come not from digital-first industries, but from the overlooked systems that keep the physical economy running.
For Anchr, the goal is clear: to develop the AI operating system that powers the next generation of supply chain operations.
