Demand Intelligence

You don't need perfect historical data or years of history. Demand Intelligence uses advanced forecasting techniques that work with limited history, sparse data, and new products, leveraging algorithms refined over 30 years of managing hundreds of millions of SKUs across diverse industries and product categories.

AI teammates don't just forecast promotional lift, they learn which promotions drive demand for your business, automatically detecting patterns across product families and applying that intelligence to future events. The system gets smarter with each promotion, reducing manual adjustments and improving accuracy over time.

AI teammates continuously compare forecasts against actual demand, tracking accuracy metrics like Bias%, MAPE, WAPE, and MAE in real time. When forecast performance degrades beyond thresholds, it detects the exception, identifies the root cause (unmodeled promotion, seasonal shift, data quality issue), and recommends corrective actions.

As demand intelligence observes your demand patterns, causal factors, and your team's adjustments, forecasts improve. Knowledge is captured and institutionalized, so everyone benefits as the system learns and evolves with your business.

Understand what's driving your business (forecast changes, demand patterns, supply constraints) with clear explanations in natural language. Build confidence in forecasts by seeing the reasoning, not just the numbers. 

An agentic solution where AI teammates orchestrate multiple foundation models and intelligent forecasting tools to generate forecasts directly, rather than simply providing a natural language interface to query forecasts made by conventional ML models. Unlike traditional forecasting solutions that require months of training data and manual configuration, or LLM-based solutions where AI simply helps you ask questions about existing predictions, our foundation models are part of the forecasting engine, providing true zero-shot capability for products without historical data, such as new product introductions. An ensembled forecast from multiple models, including Amazon’s proprietary foundation model, selects the right approach for each forecasting scenario to maximize accuracy across a wide range of circumstances.

Generate demand forecasts by SKU, location, and time period using algorithms refined by Amazon's 30+ years of supply chain science. Demand Intelligence handles promotional events, seasonal patterns, intermittent demand, and new product launches, even working with limited or imperfect historical data.

After forecast creation, AI teammates continuously monitor actual demand against forecasts, automatically calculating accuracy metrics including Forecast Accuracy, Bias%, MAPE, WAPE, and MAE at configurable granularity levels. When forecast variance exceeds your defined thresholds, the system detects the exception, performs automated root cause analysis (unmodeled promotions, incorrect seasonality factors, supplier changes, external factors), and provides actionable recommendations to improve forecast accuracy. Track forecast performance over time to identify systematic patterns and prevent recurring forecast errors.

Understand what's driving every decision (forecast changes, suppl constraints, recommended actions) with clear explanations in natural language. Demand intelligence shows you the reasoning behind every prediction (seasonality patterns, trend analysis, promotional impacts, outlier detection), so you can validate the logic and build confidence in forecasts. No black box predictions: see the data sources, causal factors, and model selection decisions that shaped each forecast. 

Harmonize multiple forecast inputs into a single aligned demand plan. Blend statistical forecasts with customer commitments and cross-functional team inputs. Demand intelligence capabilities create one source of truth that stakeholders trust, eliminating conflicting versions and endless reconciliation.