Anchr announced that it has raised $5.8 million in seed funding to develop an AI-native operating system designed specifically for food distributors. The New York-based startup aims to automate core operational workflows across the food supply chain, replacing manual processes that still dominate the industry.
Food distribution businesses manage hundreds of billions of dollars in perishable inventory annually, yet many still rely on text messages, spreadsheets, and legacy enterprise resource planning systems originally designed decades ago. While these ERPs capture transaction records, they typically lack real-time intelligence for purchasing decisions, inventory optimization, or margin risk management.
Anchr’s platform is designed to sit on top of existing systems rather than replace them. The software embeds AI-driven “teammates” across multiple operational areas, including order intake, purchasing, inventory planning, invoicing, collections, and finance. By integrating these functions into a unified workflow, the system aims to automate repetitive administrative tasks and provide operational insights that guide decisions across the organization.
The startup was founded by Tzar Taraporvala and Smayan Mehra, who began exploring supply chain inefficiencies after observing the fragmented infrastructure used by many distributors. Their research included working directly with a Boston-based seafood distributor to map day-to-day operational workflows. The founders identified multiple areas where manual processes created inefficiencies, from orders entered manually into ERPs during early-morning shifts to purchasing decisions based on disconnected spreadsheets.
Early customer results suggest measurable operational gains from the platform’s automation capabilities. One distributor reclaimed approximately 40 percent of a team of eight sales representatives’ daily working time by automating order intake from emails and text messages. Another reduced aged inventory write-offs by $30,000 in a single month through purchasing recommendations informed by live demand signals. A third customer is projected to increase average basket size by about $65 per order across 4,000 annual orders by using AI to analyze menus and product catalogs to surface upsell opportunities.
The company said it has booked seven-figure revenue within 12 weeks of commercialization, with customers ranging from regional distributors to a publicly traded enterprise generating approximately $5 billion in annual revenue.
The funding round was backed by a16z Speedrun, Anterra Capital, Offline Ventures, Long Journey Ventures, and angel investors, including leaders from OpenAI. The company plans to use the new capital to expand product capabilities and deepen automation across distributor operations.
Looking ahead, Anchr plans to extend its automation across every operational layer of food distribution businesses, aiming to become a central coordination system for decisions on inventory movement and financial operations. The company believes the same model could eventually apply to other industries where physical goods move through fragmented supply chains.
KEY QUOTES:
“The biggest opportunity to leverage AI isn’t in industries with modern infrastructure. 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. We built Anchr to become the intelligent layer that works alongside teams every single day, automating away the tedious, unsexy parts of the job to create truly material value for a margin-strapped business. If the first era of enterprise software digitized record-keeping, we believe the next era will automate it. We call that shift Enterprise Resource Automation (ERA) – and Anchr is building this inevitable operating layer.”
Tzar Taraporvala, Co-Founder And Co-CEO, Anchr
“If the first era of enterprise software digitized record-keeping, we believe the next era will automate it. We call that shift Enterprise Resource Automation (ERA) – and Anchr is building this inevitable operating layer.”
Smayan Mehra, Co-Founder And Co-CEO, Anchr
“The magic here is compounding: when sales, purchasing, inventory, and finance share context, the whole business runs differently. Anchr is building an AI-native operating layer that turns fragmented steps into an integrated workflow and the early customer outcomes show what that unlocks.”
Troy Kirwin, a16z Speedrun
