Kochalla is the AI and machine learning layer the food industry never had. From manufacturer to distributor to retailer to operator -- every tier of the supply chain, on one intelligence platform. What used to take weeks of spreadsheet work now takes seconds.
The Gap
Every other industry put machine learning to work in the last decade. The food supply chain -- from manufacturer to distributor to retailer to operator -- is still running on spreadsheets and gut feel. The companies that close that gap first will own the next era.
The Business Case
Move the sliders to reflect your operation. See what's at stake.
The Platform
Kochalla is not a reporting tool. It is a revenue intelligence engine -- purpose-built for how foodservice distribution actually works. Hosted on Google Cloud. Secure, scalable, yours.
Every week, accounts gain or lose. Most distributors find out when a rep complains or a quarter closes red. Kochalla maps exactly where revenue moved, which customers are trending down, and what categories are driving the shift -- automatically, every day.
Where is your revenue going -- not where it's been? Kochalla's trajectory engine projects forward from your actual patterns, surfaces velocity changes before they become losses, and flags accounts that need attention now, not next quarter.
Your best growth opportunity is already in your customer list -- most of it invisible. Kochalla finds the whitespace: products each account should be buying, based on segment, history, and peer behavior. Surfaced as a rep-ready list, not a data dump.
Set targets at the rep, site, category, or market level. Track pace in real time. Know whether your team is on track before the quarter ends -- not after the postmortem. Accountability without micromanagement.
Model scenarios before committing to them. What happens if a top account churns? What does a 10% price move do to a category? What's the revenue impact of winning that contract? Run the numbers before you make the call.
Every data point in your dashboard is available to query in plain language. Ask why an account declined. Ask what's driving category growth. Ask for your top recovery opportunities this week. Straight answers -- no dashboards to dig through.
Purpose
I started in restaurants. That's where I learned what work actually feels like -- and who feels the consequences of decisions first. Not the person who made the call. The person on their feet, mid-shift, with no margin for error and no time to ask why.
Restaurants taught me efficiency in a way no classroom could. What it feels like when someone has prepared ahead. When everything you'll need is exactly where it should be. That's mise en place -- and it never left me. Every system I build is still trying to give that feeling to someone who needs it.
Then came years inside a Fortune 50 operation -- working with data sets most people in this industry will never touch. I saw what worked. More importantly, I saw what was missing. The clarity that should exist but doesn't. The decisions being made on memory and instinct that could be made on signal.
When you bundle that perspective with analytics, AI, machine learning, and the ability to build the engines yourself -- you get something the food industry hasn't had before. Someone who knows its challenges, its nuances, and its strengths, and can actually build the tools to match.
Kochalla exists so that the person closing leads closes faster. So the rep running a territory stops doing repetitive work that doesn't move their career forward. So the operator's shift runs smoother because the right information was already in place. That's what this is for.
Why Now
Finance has quant. Retail has ML-driven merchandising. Healthcare has predictive analytics. The food industry -- from field to fork -- is still running on relationships and spreadsheets. That changes now.
Coming to the restaurant floor
Every restaurant runs on instinct and memory. The server who knows which tables tip well. The manager who senses a slow Tuesday before the numbers confirm it. The chef who catches food cost creeping before it hits the P&L.
K-Mise puts machine learning behind all of it. A handheld device -- or app on existing hardware -- that tracks every order, every upsell, every ticket, every portion. Connected to your kitchen printers. Alive on the floor.
At the end of a shift, every server sees exactly how they performed. Management sees what's driving revenue and what's leaking it -- by hour, by server, by menu item, by day of week. The ML engine finds the patterns nobody has time to look for.
Request a Demo
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We show you what Kochalla finds in an operation like yours.