A modern solution for accurate sales forecasting, scenario-based promotion modeling, promotion optimization, inventory control, and profit maximization.
The system enables a shift from reactive management to proactive, data-driven decision-making.

▪️Accurate sales forecasting at the SKU/store/day level
▪️Accounts for seasonality, promotions, customer behavior, and over 100 influencing factors
▪️Simultaneous forecasting for different planning levels
▪️Automatic detection of anomalies and changes in demand
▪️Self-learning and adaptation of models to new sales patterns
▪️Regular automatic updates to forecasts
▪️Ready-made reports, dashboards, and analytics for business users


▪️Assessing the effectiveness of promotional campaigns before they launch
▪️Forecasting uplift, baseline, and expected sales
▪️Simulating various promotional scenarios in real time
▪️Assessing cannibalization between products and categories
▪️Calculating the ROI and financial impact of promotional campaigns
▪️Optimizing promotion parameters and mechanics
▪️Reducing the risk of out-of-stock situations for promotional products
▪️Visualizing results and key promotional metrics
▪️Automatic selection of products for promotions based on specified criteria
▪️Optimization of promotions based on margin, inventory turnover, or balanced results
▪️Compliance with business rules, category restrictions, and promotional policies
▪️Intelligent rotation of the promotional product assortment
▪️Assessment of the impact of promotions on sales and margins
▪️Reduction of the time required to create a promotional basket from several days to 1–2 hours
▪️Transparent selection criteria and the ability to make quick adjustments
▪️Increased efficiency and profitability of promotional activities


▪️Early detection of the risk of out-of-stock items
▪️Sales forecasting with intervals of up to 30 minutes
▪️Automatic detection of sales anomalies
▪️Immediate alerts for critical situations
▪️Analysis of store-specific characteristics and inventory turnover rates
▪️Accounting for seasonality and the impact of promotional campaigns
▪️Adaptation of ML models to changes in demand
▪️Three-tier system for risk assessment and action prioritization
▪️Integration with store operational processes
▪️Automation of complex indicator and analytical metric calculations
▪️Ensuring a consistent calculation methodology across all processes
▪️Automatic collection of data on sales, promotions, and from external sources
▪️Daily updates of indicators and validation of results
▪️Monitoring deviations and automatically detecting anomalies
▪️Enriching forecasting models with additional data
▪️Integrating calculations into ML forecasting models
▪️Transparency of methodology and standardization of analysis processes

