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The Workflow
How INTEGRITAS predicts what you really need
Staff record current stock levels and simple feedback per product and location in a guided flow. These daily counts and comments become structured data instead of disappearing in notes or spreadsheets.
Capture reality
INTEGRITAS combines inventory and sales data with external signals such as weather, seasonality, holidays, local events and known supply constraints. All relevant drivers of demand are brought together in one place.
Add context
Machine learning models detect how each product behaves across weekdays, seasons, temperatures, locations and events. The system learns your specific patterns and continuously updates its understanding as more data comes in.
Learn patterns
For every product at every location, INTEGRITAS predicts expected sales and generates recommended order quantities. Suggestions highlight where you risk over-ordering and waste, or under-ordering and stock-outs.
Recommend orders
Teams review and adjust the proposals, place orders and see how reality compares to the forecast. The platform tracks recommendations, decisions and actual outcomes, using this feedback loop to continuously sharpen future predictions.
Improve continuously
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