Stop reacting to stockouts and overstocks. FlowChain AI's machine learning demand forecasting engine analyses hundreds of signals to predict exactly what you'll need, where, and when — weeks in advance.
Our ensemble machine learning models consistently outperform traditional statistical methods and rule-based forecasting by a significant margin across every industry and product category.
From new product introduction to promotional lift modelling, FlowChain AI covers every demand planning scenario.
Predict demand at the item, location, and channel level simultaneously — with confidence intervals for every forecast.
Measure the exact uplift from promotions, discounts, and advertising campaigns, and incorporate them into future plans.
Automatically ingest weather forecasts, economic data, competitor pricing, and social media trends as demand signals.
Cold-start algorithms leveraging analogous product history enable accurate forecasts for brand-new SKUs from day one.
Combine AI forecasts with sales team inputs and market intelligence in a structured S&OP workflow.
Automated alerts when forecasts deviate significantly, with one-click override and audit trail capabilities.
Our AI continuously monitors and learns from a rich ecosystem of internal and external data sources.
Point-of-sale data, order history, returns, and substitution patterns
Regional weather patterns, seasonal indices, and climate event alerts
Commodity prices, forex rates, economic indicators, and consumer confidence
Social media mentions, Google Trends, and brand sentiment analysis
Competitor pricing, promotions, and stockout detection
Holidays, events, school calendars, and sporting fixtures
CRM pipeline, marketing spend, and new product launches
Lead times, supplier capacity, and port congestion data
A UK fashion retailer used FlowChain AI to plan Christmas stock 16 weeks ahead, eliminating the need for post-season markdowns on 94% of lines.
↓ 42% markdown lossesA pharmaceutical distributor reduced out-of-stock events by 89% using our short-horizon demand sensing model integrated with NHS prescription data.
↓ 89% stockout eventsA beverage manufacturer improved promotional forecast accuracy from 61% to 93% by incorporating retailer POS data and social media sentiment.
↑ 32% accuracy gainAn automotive OEM used AI forecasting to optimize £180M in spare parts inventory, reducing holding costs while maintaining 99.7% fill rate.
↓ £28M inventory costInteractive dashboards that make complex demand data instantly understandable for planners, buyers, and executives alike.
Let FlowChain AI show you what 95% accuracy means for your bottom line.