Demand forecasting for sales growth and loss reduction

An AI system for demand forecasting, inventory management, and reducing shortages, overstock, and losses in retail.

Our clients

Clients and partners

Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
FM Logistic
Danone
+10clients · View cases →

Use AI and analytics for accurate demand forecasting. The system accounts for seasonality, promotions, and external factors to minimize overstock and empty shelves. Benefits of automated demand forecasting for a retail chain

Why demand forecasting makes sales more stable and profitable

  1. Real-time demand analytics

  2. The system uses sales data, seasonality, and external factors for forecasts.

  3. This reduces purchasing errors, helps respond to trends faster, and ensures consistent availability of in-demand goods.

  4. Forecasting helps avoid empty shelves and warehouse overstock.

  5. The solution calculates demand at every level: store, region, format, which reduces logistics and operating costs.

  6. Up to 90% accuracy increase AI forecasting models deliver up to 90% demand planning accuracy.

  7. This helps retail chains optimize working capital and minimize write-offs.

  8. The system reduces the workload on category managers.

  9. All forecasts are generated automatically and updated daily, accelerating planning weeks ahead.

Assess where AI can deliver impact in your process

Efficiency and growth in one solution

  1. The digital forecasting system takes sales, seasonality, promotions, and external factors into account. This makes it possible to build accurate forecasts, avoid shortages and overstock, reduce write-offs, and maintain a high level of service across the chain. The solution includes:

  2. We use AI models to forecast demand by category and region

  3. We analyze seasonality, promotions, and macroeconomic factors in one system

  4. We automate order planning and update forecasts daily. Business results:

  5. Reduced overstock and stockouts on shelves

  6. Demand forecast accuracy increase up to 90%

  7. Increased turnover and reduced write-offs Solutions without unnecessary complexity, from idea and analysis to results

We will study your processes and propose a ready-to-use implementation plan

We consult We discuss goals and tasks, define priorities, and set expected outcomes for the joint work

We analyze your processes We study current processes and approaches, identify growth points, and determine which solution will deliver tangible results

We plan the solution rollout We discuss goals and tasks, define priorities, and set expected outcomes for the joint work

Launch and support We implement the solution, train your team and provide support so the solution delivers tangible value

We forecast demand with practitioners, not theorists

We implement AI solutions for sales forecasting: factoring in history, seasonality, promotions, and external factors. The system reduces planning errors and increases inventory turnover. +25% forecast accuracy across categories and regions -30% excess stock and shortages in warehouses 2x faster order creation in the system 4-6 weeks - average cycle from design to MVP launch Customer reviews

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