Tools for inventory management: warehouse automation, analytics, and lower storage costs.
Our clients
An AI-based stock forecasting and optimization system. We balance turnover and availability while accounting for seasonality, promotions, and location-based demand. Integration with ERP and PIM. Benefits of inventory management for your business
Stock Forecasting AI models calculate optimal stock levels for each SKU accounting for seasonality, promotions, and turnover. Dead stock reduction
Surplus Management System identifies excess inventory and suggests scenarios: clearance sales, relocation, write-off. Financial impact calculated instantly. Auto-replenishment by actual demand
Configurable triggers launch automatic purchasing or transfers when stock falls below the threshold. Cross-functional control
The tool unites procurement, logistics, and sales in a single inventory data flow
Reduce surpluses and shortages with AI models, auto-replenishment, and turnover analytics by location. The solution includes:
We forecast the required stock volume by SKU, warehouse, and location
We configure auto-replenishment based on turnover rules
We identify surpluses and build scenarios for disposal or transfer. Business result:
Lower warehouse costs and tied-up capital
Higher shelf turnover and fewer shortages
Centralized control over inventory. Solutions without unnecessary complexity, from idea and analysis to results
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 build solutions for forecasting, balancing and analyzing stock levels. We reduce frozen capital and eliminate shortages through accurate data and automated replenishment 22% reduction in excess warehouse stock 30% faster inventory turnover 90% stock forecast accuracy 3-4 weeks - average cycle from design to MVP launch Customer reviews
