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ICC Manager
AI manager that finds losses restaurants don't see.
ICC Manager unites POS, CRM, chats, and reviews into one AI-driven control loop — detecting hidden losses, coordinating tasks, and turning restaurant operations data into clear management actions, 24/7.
What if your restaurant had a manager who never sleeps?
Most restaurants do not shut down because the food is bad. Several of my favorite places closed even though the food was always excellent.
They close because their systems are broken. The tools are there, but no one truly owns them. The data is there, but there is no feedback loop, no decisions, no action.
The worst part is that the owner usually discovers the problems only when the cash gap has already exceeded a full month of revenue. After three years of owning my own restaurant, I decided this is unacceptable. Based on the pains and problems I faced every single day as an owner, we created an intelligent system for restaurants.
It unites POS, CRM, chats, reviews, and operating procedures into a single management loop.
An AI manager that helps reduce losses, control processes, operations, standards, tasks, and communications 24/7, and stabilizes restaurant management by turning raw operational data into clear actions that grow profit.
Our mission: Improving restaurants management to deliver quality service.
Drawing on my previous experience, we took the best practices from ISO 9001 and Lean manufacturing, combined them with modern automation and the best of neural networks, to defeat the never‑ending chaos of day‑to‑day restaurant operations. The goal is simple: a restaurant that runs predictably, even when people change, seasons shift, and demand rises or falls. Always.
Why now?
Managers are drowning in fragmented tools, rising costs, and a shortage of reliable staff. At the same time, AI has finally become strong enough to see the patterns inside this chaos and suggest what to do next. We live exactly in the gap between these two worlds.
I did not want to build this product at first. I went searching for a place to buy it. But as I studied what exists on the market, I realized that this product simply does not exist. The companies I spoke with had excellent engineers, product managers, and other team members. They built products that were great from a code perspective, but 80% useless in practice, solving at best a small part of the real problems and sometimes creating new ones.
So we started building it ourselves.
We are building it for:
restaurateurs and managers who need control without unnecessary complexity,
partners in hospitality tech, POS, and CRM
investors who see that the restaurant management software market already exceeds $7.5 billion and is growing fast, and that the next wave of value in F&B will not come from yet another delivery app but from smarter operating systems.
If this resonates with you, let’s talk.
honestly the ai flagging hidden losses across pos and reviews feels like the kind of thing every restaurant chain secretly needs, would love to see how it handles a noisy week of data
About ICC Manager on Product Hunt
“AI manager that finds losses restaurants don't see.”
ICC Manager was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #108 on the daily leaderboard. ICC Manager unites POS, CRM, chats, and reviews into one AI-driven control loop — detecting hidden losses, coordinating tasks, and turning restaurant operations data into clear management actions, 24/7.
ICC Manager was featured in SaaS (43.6k followers), Artificial Intelligence (475.9k followers) and Fundraising (1.4k followers) on Product Hunt. Together, these topics include over 166.5k products, making this a competitive space to launch in.
Who hunted ICC Manager ?
ICC Manager was hunted by Dmitrii Usenko. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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