201. Design Demand Forecasting for Inventory

The brief

Design Demand Forecasting for Inventory. Forecast 20 million item-store series 28 days ahead as quantiles that set orders: censored sales, global GBDT and deep quantile models, reconciliation and cost backtests: one-hour junior, senior and staff boards. Work from the scoping questions below. State assumptions for any unspecified load, guarantee or target, then trace your design end to end. Explain one difficult case and a credible alternative; the worked example is a reference, not a required implementation.

• Set the scope: What decision? Output?
• Define the contract: Scale? Which data?
• Test the boundaries: Stockouts? Freshness? New items? Overrides?

Constraints

Explicit scope and guarantees

Resolve the scoping questions for Demand Forecasting for Inventory. Separate stated behavior from assumptions, and identify what is outside your design.

Supported operating targets

Declare relevant volume, latency, freshness, quality or cost targets with units. Show calculations or an evaluation plan that can test them; unspecified targets are your assumptions, not hidden pass criteria.

Failure and boundary behavior

Explain how your guarantees hold in a difficult case relevant to this subject. Address: New items? Overrides?

What to cover

1. 01

   Scope and behavior contract

   Identify users, required behavior and exclusions. Answer: What decision? Output?

2. 02

   State and interfaces

   Define the information owned by the system and the inputs, outputs and errors at its boundaries. Resolve: Scale? Which data?

3. 03

   Capacity and operating targets

   Estimate the dominant workload and resource demand with units and explicit assumptions. For a learned system, also state how quality is measured and what data is available.

4. 04

   Architecture and central flow

   Draw or describe the responsibilities needed for Demand Forecasting for Inventory. Trace a representative request, event or job from its input to a visible result; identify durable state owners.

5. 05

   Failure and boundary walkthrough

   Walk through a difficult case step by step, including detection and recovery. Consider: Stockouts? Freshness? New items? Overrides?

6. 06

   Tradeoffs and operations

   Compare a credible alternative using your chosen workload and guarantees. Explain a remaining risk, a signal to watch and when you would change the design.

Worked designs

Explore the architecture and decisions, then build on an example with Coach.

Official design

Design Demand Forecasting for Inventory

Forecast 20 million item-store series 28 days ahead as quantiles that set orders: censored sales, global GBDT and deep quantile models, reconciliation and cost backtests: one-hour junior, senior and staff boards.

Explore the design

Review rubric

AI feedback uses these criteria. Scores are practice feedback.