Foresaight
Foresaight.ai is a demand forecasting platform that layers 1,000+ curated external signals—including weather, macroeconomic indicators, commodity prices, and promotional calendars—onto a company's historical sales data. A hybrid AI engine runs millions of model experiments per SKU to identify the optimal algorithm and auto-retunes weekly as market conditions shift. Forecasts are delivered directly into Microsoft Excel, Google Sheets, CSV, or REST API endpoints, requiring no software installation or workflow changes.
- Artificial Intelligence
- Data & Analytics
- Logistics & Supply Chain
- Enterprise Software
- Software Only
- Retail Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Most demand planning systems rely solely on historical sales data, missing external factors like weather events, macroeconomic shifts, competitor promotions, and seasonal trends. This leaves planners making decisions half-blind, leading to excess inventory on slow-moving items, stock-outs on fast movers, and missed service-level agreements.
Solution
Foresaight.ai provides a forecasting platform that layers 1,000+ curated external signals—including weather, macro indicators, commodity prices, calendar events, and social trends—onto a company's historical sales data. A hybrid AI engine runs millions of model experiments per SKU to identify the optimal algorithm, then auto-retunes weekly as market conditions shift. The resulting forecasts are delivered directly into the tools teams already use, such as Microsoft Excel and Google Sheets, with no new software to install or processes to change. This approach gives planners stronger inputs without disrupting their existing workflow, improving forecast accuracy and reducing lost sales and inventory costs.
Target Audience
Primary customers are demand planners, supply chain managers, and retail operations teams at companies that rely on forecasting to manage inventory, reduce stock-outs, and control logistics costs.
Features
- Ingests historical sales data and layers in 1,000+ curated external signals spanning weather, macroeconomics, commodities, calendar events, promotions, mobility, energy, logistics, retail, social media, and currency markets
- Runs millions of model experiments per SKU to select the optimal forecasting algorithm, with weekly auto-retuning as market conditions shift
- Delivers forecasts directly into Microsoft Excel via shared drive or SharePoint, Google Sheets via service-account writes, CSV via SFTP/S3/email, or JSON via REST API
- Requires no software installation or process change, allowing planners to keep their existing workflow
- Tracks specific external signals such as temperature anomalies, CPI, school holidays, trend indexes, port congestion, and competitor promo activity
- Provides role-specific forecasts for sales, supply chain, procurement, and production teams, each calibrated to the decisions that function makes