Frequently Asked Questions

Frequently Asked Questions

What business problems does AI demand forecasting solve?

What business problems does AI demand forecasting solve?

Modern companies struggle with supply planning and purchasing. Wrong decisions raise costs and slow down business development.

  • Lost sales and customers due to unexpected stockouts.
  • Additional costs for storing surplus stock that doesn’t sell on time.
  • Inability to quickly react to seasonal surges or drops in demand.
  • Human error and mistakes by employees when planning purchases.
  • Difficult management of multiple product categories and supply channels.
AI Demand Forecasting: Business Advantages

AI Demand Forecasting: Business Advantages

Implementing an intelligent demand forecasting system gives your business a new level of efficiency. Forecast accuracy up to 95% helps optimize procurement, minimize inventory costs, and avoid financial losses from shortages or excess stock. This approach frees up working capital—clients reduce blocked funds by 15–25% and reinvest in growth. The algorithms suit retailers, distributors, and manufacturers. Besides accurate forecasting, the system automatically recommends optimal volumes and timing for purchases. Integration with your ERP, CRM, or WMS is achieved via API, and all key metrics by product, channel, and region are available in one dashboard. We tailor models for your business and gradually deploy the solution, starting with pilot launches to ensure you see results and ROI quickly.

How AI Demand Forecasting Works: Implementation Stages and Technological Advantages

AI demand forecasting is an innovative business service that combines cutting-edge machine learning methods, your historical data, and Digiants' expertise. We analyze sales history, seasonality, market trends, marketing activities, pricing, and external factors. For each segment, we build a custom multifactor model that considers your product assortment, item lifecycle, and soft factors such as sales events, holidays, weather fluctuations, and macroeconomics. The system uses AutoML, Time Series AI, Prophet, and advanced algorithms to reach up to 95% forecast accuracy—even with minimal or partial data. Implementation follows several stages: after an initial data audit, we launch a pilot on 1–2 product categories so you can quickly assess improvements. Later, we scale up the solution to all directions. All calculations and recommendations are available via a user-friendly dashboard and can be sent to your ERP, CRM, or WMS. We offer a well-documented API, fully integrating with your workflows. The designed infrastructure is highly automated: the system not only forecasts demand, but also generates alerts for procurement for each group, taking into account lead times, batch sizes, and promotions. Thanks to this, clients note a 20–30% reduction in overstock, 30–50% higher stock turnover, 70–85% drop in out-of-stock losses, and up to 25% freed-up working capital. Each project is supported with clear analytics and a comparison to the baseline metrics before go-live. We tailor our models for standard and unique businesses, separately taking into account the Ukrainian market, seasonality, and regional features. You no longer need to keep excessive stock to cover unknown demand—the system will timely predict what you need and minimize risks from human error. Request your demo—the first insights and recommendations arrive within 1–2 weeks of data exchange.

Our advantages

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Successful cases and transactions for clients

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Customer reviews

Ivan Petrov

Operations Director

Since implementing AI demand forecasting, our inventory turnover has increased by 40%, and we no longer struggle with excess stock or out-of-stock issues. Integration with our ERP was seamless, and the dashboard is extremely user-friendly.

Marta Sokolova

Head of Procurement

We reduced our purchasing budget by 25% and stopped losing sales due to stockouts. The AI recommendations are clear and actionable. Our team trusts the forecasts and makes decisions much faster now.

Tomasz Wojcik

Supply Chain Analyst

Introducing AI demand forecasting has fundamentally changed our planning process. We’ve seen significant improvements in stock turnover, fewer human errors, and the piloting period brought quick, visible ROI.

Request a Free Demo Analysis

Fill out the form — we will show you forecast examples for your products and discuss your personalized stock optimization strategy.