Our customers’ success stories

A weekly evaluation compares both forecasting methods with actual sales for 4,629 products. Historical demand, seasonal patterns and known retail events inform the forecast; bills of materials, stock and expected deliveries then turn it into requirements. Purchasing, production and stock transfers can now choose a forecasting method on measured evidence.

AI systems retrieve Immobilienpartner Sachsen’s pages 4.4 times as often as Googlebot. A data layer makes this possible by combining market reports, official standard land values and calibration by a local estate agent into 49 price zones across Saxony. It powers a valuation tool and more than 1,100 pages answering specific local questions.

Since February 2026, 95,567 units have moved from the main warehouse to Amazon across 1,200 reviewed line items. Every item uses the same calculation: what Amazon holds, what it sells and what is already in transit. Purchasing adjusts and approves the proposals, and the inventory management system receives complete transfer orders.

More than 1,500 individually calculated quotes per year, usually sent within 24 hours, previously required 15 to 20 minutes of manual work each. The tool handles research, calculation and layout. The team reviews the result and makes the decision.

Order Brain derives three kinds of suggestions from demand, stock and delivery times: what to buy, what to produce and what to transfer between the main warehouse and Amazon FBA. Purchasing reviews, adjusts and approves them before the plan returns to the inventory management system.

More than 60 branches manage appointments through one platform. Customers book workshop services and consultations themselves, online, on mobile and around the clock. The branch sees the appointment before the customer arrives.

Five source systems share one data model: Unimatrix combines JTL inventory management, Amazon, eBay, Kaufland and DHL. Revenue, fees, shipping costs and gross profit can now be compared down to product level across channels, warehouses and tenants. Users can trace a discrepancy to its cause in the same interface.

Processing time is more than 90 percent shorter. The application automatically analyses soil-compaction machine data and provides a daily view of construction progress and quality deviations. The project team can review and act on the results directly.

32 documented metric tables cover revenue, margins, stock and purchasing. AI answers business questions about them in conversation, without SQL or a prepared report. The endpoint is read-only, authenticates each client and revokes deleted tokens immediately.

A single run schedules up to 14 days of appointments for a chimney-sweeping district. It assigns upcoming sweeping, measurement and fireplace-inspection work to staff and days, creates Outlook appointments and produces customer appointment cards. Master data come from KAMIN Futura through read-only imports every two hours. The team reviews the preview and decides.

600 users worldwide plan on one platform. Sales, Finance, Supply Chain and Manufacturing manage volumes and revenue there, replacing region-specific spreadsheets. Analyses that previously required preparation are now available within the system.