US startup Anchr has secured $5.8 million in seed funding to develop what it describes as the first end-to-end AI-native operating system for food distributors, targeting one of the most operationally complex yet technologically underserved sectors of the global supply chain.
The funding round was backed by a16z Speedrun, Anterra Capital, Offline Ventures, Long Journey Ventures, alongside several industry leaders connected to 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 scale of the food distribution industry, which moves hundreds of billions of dollars in perishable goods annually, much of its operational infrastructure remains heavily reliant on outdated technology and manual processes.
Food distributors act as a critical backbone between producers and the hospitality sector, ensuring that restaurants, supermarkets and catering businesses receive fresh goods daily. Yet many companies still rely on text messages, spreadsheets and legacy enterprise systems developed decades ago.
Traditional enterprise resource planning (ERP) systems typically record historical transactions but lack the capability to analyse real-time conditions or automate operational decisions.
This means that key activities such as purchasing decisions, stock management and financial reconciliation often require extensive manual work. For businesses operating on low single-digit profit margins, inefficiencies in these processes can significantly impact profitability.
Anchr’s founders believe artificial intelligence can fundamentally change how these operations function.
“The biggest opportunity to leverage AI isn’t in industries with modern infrastructure,” said Tzar Taraporvala, co-founder and co-chief executive of Anchr.
“It’s buried deep in the operational backbone of the economy. Food distributors manage millions of dollars of inventory with systems that were never designed to handle today’s complexity.”
Rather than replacing existing ERP platforms, Anchr’s system operates as a layer on top of them, embedding AI-powered digital assistants, or “AI teammates”, across multiple operational departments.
By integrating data across departments, the system enables information to flow continuously through the organisation, eliminating the fragmented workflows that often plague supply chain businesses.
Work that previously required hours of manual intervention, such as inputting orders received via email or text messages, can be executed automatically by the platform, with contextual information shared across the entire business.
Early adopters of Anchr’s platform are already reporting measurable efficiency gains.
One customer reclaimed roughly 40 per cent of daily working time across a team of eight sales representatives by automating order intake from emails and text messages.
Another distributor was able to reduce aged inventory write-offs by $30,000 in a single month, after using AI-generated purchasing insights based on live demand signals.
In a further example, a distributor used the system’s menu-analysis capabilities to identify upselling opportunities. By scraping restaurant menus and product catalogues, the AI recommended additional items to include in orders, increasing the average basket 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 translate into substantial financial gains.
The idea for Anchr emerged directly from the founders’ exposure to operational inefficiencies within the supply chain.
Co-founders Tzar Taraporvala and Smayan Mehra, who have worked together for more than two decades, began investigating supply chain technology gaps after observing how disconnected many enterprise systems remained.
Their research intensified when they partnered with a Boston-based seafood distributor, spending several months observing daily workflows inside the business.
They discovered that many operational processes were still handled manually. Orders were frequently entered into ERP systems in the early hours of the morning, purchasing decisions relied on disconnected spreadsheets and finance teams often had to reconcile invoices across multiple software platforms.
The founders concluded that the problem was not simply technological, it was structural.
“The pain was structural, daily and expensive,” the company said.
Anchr’s early momentum has been notable. During its 12-week participation in the Speedrun accelerator programme, the startup reported booking seven-figure revenue.
Its customer base already includes both regional distributors and a publicly traded food distribution company generating approximately $5 billion in annual revenue.
This rapid adoption reflects growing demand for automation in a sector where operational complexity continues to increase.
From ERP to ERA: the next evolution in enterprise 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 toward what they call Enterprise Resource Automation (ERA).
“If the first era of enterprise software digitised record-keeping, we believe the next era will automate it,” said Smayan Mehra, co-founder and co-CEO.
Under this model, enterprise software does not simply track data but actively executes workflows and decision-making processes in real time.
Looking ahead, Anchr plans to expand automation capabilities across all aspects of distributor operations, eventually becoming a central coordination system for decisions involving inventory, capital and logistics.
The founders believe the technology has applications beyond food distribution, particularly in industries where physical goods move through fragmented supply chains.
By integrating operational data across departments, the platform aims to create a new type of AI-native system of record built around the actual work performed by organisations.
Investors backing the company say the potential lies in the compounding effect of connecting operational functions.
“When sales, purchasing, inventory and finance share context, the entire business runs differently,” said Troy Kirwin of a16z Speedrun.
“Anchr is building an AI-native operating layer that turns fragmented processes into integrated workflows.”
Despite the scale of global logistics and distribution networks, many supply chain sectors remain technologically underdeveloped compared with consumer technology and finance.
Food distribution in particular presents a unique challenge because it involves high volumes of perishable inventory, tight margins and fast-moving operational decisions.
As artificial intelligence continues to move beyond productivity tools into full operational automation, startups like Anchr are betting that some of the largest 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: build the AI operating system that powers the next generation of supply chain operations.
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Anchr raises $5.8M to bring AI-native automation to America’s food supply chain