Why accurate forecasts are not enough
ML models can deliver highly accurate demand forecasts — even in complex promotion scenarios. But for business, accuracy alone is not enough. In most systems, forecasts remain a “black box”: you get the result, but not the reasoning behind it.
Lack of transparency
It’s unclear which factors influenced the result and why the system calculated it this way.
No way to validate decisions
It’s difficult to verify forecasts before launch and detect data issues in advance.
Low confidence in decisions
When the logic is unclear, users hesitate to rely on the forecast in planning.
How Agentic AI works
How Agentic AI supports forecasting and promotion planning
Agentic AI is an interactive AI assistant integrated into the promotion planning workflow in ABM Inventory.
It allows users to work with ML forecasts in a conversational format — ask questions, get explanations, and validate decisions before execution.
This is not just a forecast — it’s logic you can understand and act on.
Forecast interpretation and factor explanation
Agentic AI explains how demand forecasts are built and highlights the key drivers behind the results.
It helps you:
– understand why the forecast is higher or lower than expected;
– see the impact of discounts, baseline sales, historical promotions, and other factors;
– identify the key drivers behind the forecast.
You get not just a number, but the reasoning behind it.
Historical analysis and promo analog search
Agentic AI finds relevant promotion analogs based on historical data and helps evaluate how similar campaigns performed.
It enables you to:
– identify similar promotions based on product attributes and mechanics;
– compare expected results with past campaigns;
– estimate potential sales uplift;
– work with new SKUs that lack historical data.
Decisions are backed not only by models, but by real historical context.
Promotion analysis and pattern visualization
Agentic AI helps analyze promotion performance and visualize relationships between discount levels, timing, and outcomes.
It allows you to:
– track promotion dynamics over time;
– understand how discount levels impact sales;
– identify patterns in promotion performance;
– detect anomalies and unusual demand behavior faster.
Data becomes a tool for planning, not just reporting.
Error detection and prioritization
Agentic AI automatically detects issues in promotion data and highlights the most critical ones.
It helps you:
– identify incorrect promotion settings;
– understand which errors impact ordering risks;
– prioritize actions before launch.
No need for manual checks — the system highlights what matters most.
Enterprise-grade data security
Agentic AI runs on ABM Cloud’s corporate AI infrastructure, built on Microsoft Azure.
– customer data is not used to train public models;
– data is not shared with external environments;
– processing complies with enterprise security standards.
Before and after Agentic AI
Without Agentic AI
With Agentic AI
Forecast transparency
Decision-making
Error control
Data usage
Confidence
Business impact
Reduced Stockouts During Promotions
Lower Risk of Planning Errors
Fewer Excess Stocks After Promotions
Faster Decision-Making
Higher Trust in Forecasts
More Accurate Order Quantity Decisions
We appreciate that you are interested in our products. One of our staff will be in touch with you shortly. Have a great day!