Data-driven models for accurate demand forecasting, accounting for seasonality and trends, and integration with ERP, OMS, and PIM.
Our clients
We assess digital maturity and infrastructure.
We create a transformation plan, from quick wins to large-scale changes.
We work with architecture, processes, and capabilities.
No buzzwords, just measurable impact
Forecasting errors directly translate into losses in inventory and sales.
AI models tailored to your business deliver an up-to-date view of demand without manual analysis.
This is a tool, not hand-waving analytics.
Demand forecasting: accurate data-driven models, not intuition
AI algorithms use seasonality, marketing, external factors, and trends. This removes excess stock, automates replenishment, and prevents markdowns that hurt margins.
Keeping the assortment stocked without shortages increases revenue. Forecasts automate decisions, eliminating expired goods and returns.
Forecasts become part of inventory and product flow management chains, with data transferred directly and manual entry eliminated.
The tool eliminates Excel and fragmented reports. Teams work in a single system with transparent metrics and recommendations.
From gut-feel planning to ML models built into supply chains. The solution includes:
We collect historical data on sales, promotions, seasonality, and external factors (weather, holidays, exchange rates)
We build an AI forecasting model by product groups, regions, and stores, with the option to refine it manually
We integrate forecasts into ERP, OMS and supply chains, automating demand planning. Business outcomes:
Frozen inventory levels decrease, turnover increases
Frozen inventory levels decrease, turnover increases
Category managers make decisions based on forecasts, not assumptions. Simple solutions 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 implement ML models that account for seasonality, promotions, and external factors. We integrate forecasts into ERP and OMS, turning analytics into a working procurement tool. 1.5-2 months - building and launching a forecasting model 30+ product categories managed by forecasting algorithms 25% reduction in stock levels in the first six months of model operation 80% forecast accuracy over a horizon of up to 90 days Customer reviews
