Automate your Demand Forecasting with AI agents
Anticipate tomorrow, act today — Leverage agentic AI to accurately forecast product demand, reduce inventory costs, and respond faster to market shifts.
Why manual demand forecasting
is holding you back
Challenges:
High SKU Variability
Managing thousands of SKUs across multiple markets makes manual forecasting error-prone and resource-intensive.
Fragmented Demand Drivers
Demand is shaped by complex factors—seasonality, inventory, promotions, holidays, weather, market trends, competitive landscape, etc.—that traditional forecasting methods struggle to integrate.
Slow Response to Market Trends
Conventional forecasting lacks real-time adaptability to both internal and external factors, delaying actions that could prevent stock-outs or overstock.
Limited Forecast Accuracy
Static models rely on limited variables and rigid assumptions, resulting in inaccurate forecasts that fail to reflect actual demand patterns across products and markets.
Heavy Manual Workload
Planners spend excessive time collecting and cleaning data, running forecasts, and adjusting plans—hindering strategic decision-making.
Solution Overview:
AI-Powered Forecasting Engine
Our AI assistant combines machine learning, deep learning, and statistical methods to generate accurate SKU-level demand forecasts.
Agentic Workflow Integration
Easily embeds into your existing planning process by integrating with your existing ERP systems and planning tools.
Multifactor Intelligence
Incorporates internal data (sales, inventory) and external signals (weather, holidays, promotions) to enhance forecast precision.
Augmented Forecast Context
Leverages both internal and external data—combined with domain-specific models—to improve demand forecast reliability and responsiveness.
Customizable Dashboards
Our AI agent provides interactive dashboards tailored to your business—turning data into real-time decisions.
How our AI assistant for
demand forecasting works
Step 1
Retrieves relevant data from both internal systems and external sources
Step 2
Cleans, transforms, and feeds the data into machine learning models to generate accurate, SKU-level demand forecasts
Step 3
Identifies key insights and forecast anomalies, enabling planners to validate or adjust predictions—forming a continuous human-in-the-loop feedback cycle
Step 4
Updates the approved forecasts directly into ERP systems and planning tools for seamless execution
Key features and benefits of Agentic AI
Boost forecast accuracy by 10–20%
Cut inventory by 20–30%
Improve response time by 30%
Automate 50% of manual work
Ready to unlock better demand forecasting?
Let autonomous agents take the guesswork out of planning. Discover how agentic workflow automation can transform your demand forecasting today.