Forecast demand, automatically generate purchases, and account for stock to reduce excess inventory and supply disruptions.
Our clients
Demand forecasting, requirement calculation, and purchase request creation are linked with stock, budgets, and delivery schedules. Procurement stops being a manual assembly from Excel and email and becomes a process visible from forecast to receiving.
The models calculate how much to buy and where to deliver it, taking seasonality, promotions, and sales history into account. Forecasting is not done for the product group as a whole, but for each specific item and location.
The system creates orders based on defined conditions: lot size, delivery lead time, budget, and supplier priority. Manual input remains only where human judgment is needed.
The entire approval chain lives in the interface: who approved it, what changed, and where the request is now. The decision history is saved with the request.
The procurement plan takes current stock, delivery schedules, and warehouse capacity into account, so orders do not arrive where there is nowhere to receive them.
Sales, warehouse and store stock, promo calendar, supplier lead times and terms. Data comes from accounting systems, not manual exports.
The model provides expected demand by SKU and location, taking seasonality and promotions into account. Where there is little history, the forecast relies on analogs and expert rules.
Stock and already placed orders are subtracted from the forecast, then safety stock and lead time are added. The result is how much to order and when.
Requests are assembled according to lot rules, budgets, and supplier priorities, then sent for approval in the system with decisions recorded.
Confirmation, shipment, and receiving are tracked. Any deviation in timing or volume is visible before it turns into a shortage on the shelf or at the site.
Data -> forecast -> request -> execution
Data Sources
Calculation
Procurement
Tracking and control
KT.Team experience
Procurement and inventory are always product, supplier, and stock data in one environment. Below are projects where we built exactly this connection.
Testimonials
The KT.Team team is a mature development partner. The delivery process is very clearly organized, and the smooth collaboration within the engineering team deserves special mention. When the team sees that the development process needs fine-tuning, it does it. During discussions, the team digs into the essence of the tasks and seeks to understand the business context. The work is aimed not at formally fulfilling the specification but at solving the real problem. Thanks to strong engineering expertise and product thinking, the team can be trusted not only with implementation but also with the architecture of the entire system.
The Muztorg group of companies has been working successfully with the KT.Team team for more than two years. The high professionalism of our partners helps us a great deal, as does their ability to combine well-structured project management with minimal formal constraints. I would especially like to note the friendliness and openness of the KT.Team staff.
FAQ
The system forecasts demand by product, region, and sales location. You buy what will actually sell, in the right quantities.
We use machine learning algorithms that account for seasonality, promotions, weather, and customer behavior. Forecast accuracy reaches up to 90% at SKU level.
The platform unifies the funnel: demand, stock, and promotion data are used to calculate supply. Everything is in one system.
We automate priorities and routing. The system creates requests automatically, taking into account logistics, volumes, and lead times.
The first results come in 2-3 months. Integration is phased, with a focus on quick returns from the first categories.
