Why separate stock pools cost money in multichannel retail
Selling across an online shop, marketplaces such as Amazon, eBay and Kaufland, and a physical till usually means keeping inventory in several systems at once. The result is oversells, cancellations and manual corrections. We bring every channel onto one central stock ledger. Each reservation, goods receipt and return is booked exactly once. Available quantities per channel are derived from that single stock, including safety stock and reservation logic.
Channels connect through their respective marketplace and shop interfaces, including REST APIs and EDI for wholesale. Prices, storage locations and listings are rule-driven, so a price change or a stock movement reaches every channel without delay. In the store, point of sale and online run on the same stock, which makes click-and-collect and ship-from-store work without a second data set.
We apply AI where it measurably pays off. Product copy and SEO attributes are generated with self-hosted open-weight models (Llama, Mistral, Qwen), served via vLLM on our own GPU systems in Germany. For demand forecasting we combine sales history, seasonality and promotion data into replenishment proposals per item and location. All product, order and customer data stays in your environment, with no US cloud involved.
- One stock ledger: shop, marketplaces and POS read the same on-hand quantity.
- Listing automation: prices and availability rule-driven per channel.
- Warehouse and shipping: picking, shipping labels and return bookings.
- AI product copy: descriptions and SEO fields built from master data.
- Replenishment planning: a forecast per item and location.
Suited to retailers and brands across the DACH region that want to manage growth across channels without giving up data ownership. We implement GDPR and the EU AI Act as a framework on your behalf.