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Valery Danyuk
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Anything can be produced, but selling it is a real battle: how a sauce manufacturer can get onto retail shelves using AI

DANSOY is a manufacturer of Asian, Georgian, and classic sauces.
TaskEntering retail chains as a small sauce manufacturer when the shelves are occupied by giants and private labels
SolutionDon't "come with a catalog," but demonstrate demand: social media and TikTok as proof for buyers, data and AI for packaging the offer
DeadlinesObservations from years of work in the domestic and foreign markets
ResultTwo real paths to the shelf instead of waiting for a miracle

Anyone who's ever launched a food production operation knows: process flow charts, equipment procurement, and even consistent quality are only the first 20% of the process. The real challenge begins when the product is ready and the retail wall looms before you.

The shelf as a battlefield

These days, literally anything can be produced. Supermarket shelves are overflowing, and every centimeter of display space is fought over by transnational giants and private label chains. For a relatively small Ukrainian sauce manufacturer, entering a chain using the classic "walk in with a catalog and wait for a miracle" model is nearly impossible.

TM DANSOY produces Asian, Georgian, classic, and soy sauces, as well as natural vinegars. Over the years of operating in the domestic and international markets, we've realized that the rules of the game have changed dramatically.

What are buyers looking at?

Chain buyers are monitoring Chinese TikTok and venture capital funds: they're looking for products that already have demand and viral potential, not those clamoring for shelf space. Proving demand has become more important than price.

Two real paths to the shelf

  1. Generate demand to the shelf. Social media, TikTok, your own store, and an AI bot ( dansoy.pro) provide data: how many people buy, what they ask for, what recipes they cook. With these figures, the conversation with the buyer changes.
  2. Pack your offer with data. AI helps analyze trends, collect feedback, and prepare a presentation for the chain using its metrics—turnover, margin, repeat purchases.

The full version of the discussion and reasoning is available in Telegram channel, link below.

Project links

Questions and Answers

How does AI help food producers?

Trend and demand analysis, customer messaging responses, recipe selection featuring your product, automated social media content, and data preparation for negotiations with retailers.

Does a manufacturer need its own online store if the goal is networks?

Yes: own sales provide data on demand and a direct connection with buyers – the main argument for a buyer.