The Forecasting Company provides a cloud‑based time‑series forecasting platform that uses statistical and machine‑learning models to generate probabilistic demand forecasts for any structured data source, from sales records to sensor streams. The service automates model selection, handles seasonality and anomalies, and delivers forecasts via API or CSV for integration with ERP, inventory, production and energy‑management systems, helping supply‑chain, retail, manufacturing, energy and pharmaceutical teams reduce stockouts, overstock and operational waste.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Businesses across logistics, retail, manufacturing, energy, and pharmaceuticals often rely on manual or simplistic forecasting methods that cannot accurately predict demand, production needs, or resource requirements, leading to overstock, stockouts, wasted resources, and inefficient supply chains.
Solution
The Forecasting Company offers a cloud‑based time‑series forecasting platform that applies advanced statistical and machine‑learning models to any structured data source, from sales records to sensor streams. Users upload historical data, select a forecasting horizon, and receive probabilistic demand forecasts with confidence intervals. The platform automatically handles seasonality, trend detection, and anomaly correction, reducing the need for specialized data science expertise. Forecast outputs integrate via API or CSV export into ERP, inventory, and production planning systems, enabling automated replenishment, production scheduling, and grid‑balancing decisions. Continuous model retraining ensures forecasts stay accurate as market conditions evolve.
Target Audience
Primary customers are supply‑chain managers, demand planners, and operations teams in logistics, retail, manufacturing, energy utilities, and pharmaceutical companies seeking data‑driven forecasting for inventory, production, and resource allocation.
Features
- Automated model selection and hyperparameter tuning for a wide range of time‑series patterns
- Support for multiple data inputs (sales, sensor readings, market indicators) via secure API or file upload
- Probabilistic forecasts with confidence bands and scenario analysis tools
- Ready‑to‑use integrations with major ERP, WMS, and energy management platforms through RESTful APIs
- Dashboard for visualizing demand trends, inventory levels, and forecast accuracy metrics
- Scalable cloud infrastructure that handles high‑frequency data streams and large historical datasets