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Forecasts shouldn’t feel like black boxes. When planners can’t explain sudden shifts or unexpected trends, it creates uncertainty, and slows decision-making. 

Blu’s Forecast Explainability uncovers the “how” behind the numbers, breaking down the drivers, model selections, and contributing factors in direct, human language. 

For planners, that means clearer communication, easier justification of decisions, and informed adjustments without guesswork. 

For executives, it means greater visibility into the assumptions behind the plan, improved trust in the forecast, and better alignment across teams. 

With this transparency, organizations can move faster and make decisions with certainty. 

The Model Context Protocol (MCP) lets Blu’s agents work together, combining forecasting insight, replenishment logic, and planning know-how into one clear, connected answer. 

For planners, that means fewer blind spots, less digging, and more trust in every decision. 

For leaders, it means decisions grounded in a fuller picture of the business, reducing risk and improving alignment. 

MCP also enables Blu to connect with additional tools and data sources over time, expanding the intelligence that supports your planning. 

Blu removes the uncertainty behind purchase orders by explaining the inputs and drivers behind every planned purchase order in clear, natural language. 

For planners, that means quicker validation, easier what-ifs, and confident approvals. 

For executives, it means visibility into how inventory dollars are being allocated, reducing friction and improving alignment. 

With clearer reasoning behind each recommendation, teams can make better, more trusted replenishment decisions. 

Blu’s Knowledge Base is an always-available coach inside the platform. It explains how planning tasks work, why certain steps matter, and how to follow Blue Ridge best practices, all in simple, natural-language responses. 

For planners, that means quick answers, faster learning, and fewer mistakes. 

For executives, it means smoother onboarding, higher adoption, and more consistent execution across the team. 

The result: faster onboarding, higher adoption, more consistent execution, and stronger ROI across the team.