The customer decides in seconds. Your stock needs days.
Retailers, wholesalers, brand manufacturers: companies with a range, a warehouse, stores or a shop, and customers who no longer understand delivery times.Purchasing orders by experience, the warehouse recounts, the shop sells what the system still shows. In between lie suppliers with their own formats, returns, price lists and a customer service that answers the same questions every day.
We bring AI to where retailers lose margin: to stock and reordering, to product data and prices, to returns and service, and to the portal your customers order through.
Six spots between supplier and customer that we keep finding at retailers and brand manufacturers.
What we make of itGoods receipt, transfer and sale recorded as they happen: one stock figure that is right, for warehouse, store and shop.
01
The system shows one number, the shelf another. What gets sold is what the system believes, and the customer gets a cancellation.
What we make of itOrder proposals from sales, season and lead time; the buyer checks and decides instead of calculating.
02
The buyer knows their products. Season, promotion, weather, lead time, all calculated in the head. If they are out, someone orders too much or too late.
What we make of itAn agent reads supplier data, matches it, fills gaps and creates the product; people only check the exceptions.
03
Every supplier sends master data, images and prices differently. By the time a product is online, three people have worked on it.
What we make of itPurchasing, competition and sales consolidated: price proposals with reasoning that the responsible person approves.
04
Purchase prices change, competitors too. Selling prices get adjusted when someone has time, and margin is lost without anyone seeing it.
What we make of itReturns recognised and assessed at receipt, with camera and rules that your best people helped write.
05
Every return is opened, checked, recorded, sorted. Whether it is still saleable is decided by whoever happens to be there.
What we make of itAn assistant that knows order, stock and rules and gives the answer, in the portal, by email, on the phone. People take over the rest.
06
Where is my order, is there a size, can I return this: every day, the same questions, by email, phone and chat.
Five stations every item passes through, and at each one AI does something different.
Product data and prices arrive in every format.
Goods receipt, stock, order picking.
Availability, price, reordering.
Order, status, questions.
Receipt, check, decision.
Six services that most often make the first step at retailers and brand manufacturers.
01Stock and reordering that are right.
Sales, season and lead time consolidated; order proposals that purchasing checks.
Data & AI
02Product data without retyping.
An agent reads supplier data, matches it and creates products; people check the exceptions.
Agentic AI
03The portal that gives answers.
Order, status, range and service in one place, built around your processes.
Custom Solutions
04Goods receipt and returns that see.
Cameras capture pallets, labels and returns; stock is right from the start.
Computer Vision
05Warehouse work with fewer walks.
Order picking and repacking with robots that cope with changing products.
Physical AI & Robotics
06Operations, even in the Christmas season.
Shop, portal and agents monitored and maintained, with a contact who knows the system.
Managed Services
Stock, price or delivery time: tell us where margin is lost in your retail business. In the first conversation we tell you what AI takes over there.
No. We build around them: order proposals come from the ERP data, products land there, the shop stays your shop. AI works behind them.
No. The agent reads catalogue, spreadsheet and email the way they arrive, and creates what it understands with confidence. Only the rest comes back as a query.
That is exactly what the data is worth it for: order proposals take sales, season and lead time into account, and your buyer decides with their knowledge of the promotion.
Yes, if you want it to. Models run on your infrastructure or in a European cloud; customer data does not leave the company. We decide that in the first step.
A product data agent or a service assistant is a manageable project with clear benefit for the people who retype and answer the same questions today. We start with one process.