All automation areas
    case study

    Planning

    Forecasts and schedules based on your own data.

    Sample implementations

    How it looks in practice

    Problem

    Purchasing and production planning often rely on intuition: "last year it sold well, so let's order something similar." The result swings between capital frozen in an overstocked warehouse and shortages of the best-rotating items.

    Solution

    The system analyzes the company's sales history β€” accounting for seasonality, trends and planned promotions β€” and suggests how much of what will be needed in the coming weeks. The forecast updates itself as new data comes in.

    Benefits
    Less capital frozen in inventory
    Fewer stockouts at the peak of the season
    Purchasing decisions based on numbers, not memory
    Real-world example

    End of August: the system reminds that heater sales usually pick up in the third week of September and suggests ordering specific quantities from a supplier with a 3-week lead time. The stock arrives right at the start of the season.

    What we can automate

    Repetitive tasks

    Automating activities performed manually every day.

    Reports and analytics

    Reports and metrics generated automatically, no spreadsheets needed.

    Integrations

    Connecting systems so data never has to be retyped by hand.

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