This solution is an AI-powered demand forecasting utility built on Workato’s AI Hub and Model Context Protocol (MCP), designed to generate accurate, context-aware demand insights by orchestrating data across enterprise systems and external signals. Workato MCP exposes backend enterprise APIs and business data as governed MCP endpoints, enabling AI models to access the right context for forecasting and decision-making.

The solution aggregates different metrics like historical sales data, promotions, purchase orders, inventory snapshots, etc.,.  from enterprise ERP/CRM platforms, and enriches them with external feeds like weather, public holidays, and social media signals. These data sources are orchestrated through Workato recipes, ensuring secure, reusable, and scalable integrations without rigid point-to-point connections.

Targeted at supply chain leaders, demand planners, and operations teams, the utility improves forecast accuracy, reduces manual planning effort, and accelerates decision cycles. It supports agentic and conversational interactions, allowing users to request forecasts, summaries, and actions through natural language while maintaining enterprise-grade governance, security, and control. The architecture is extensible and suitable for phased adoption across industries and demand planning use cases.