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RESEARCH BY INDUSTRY

Evidence for the decision.

Find published research and synthetic demonstrations, with planned and developing topics clearly separated.

9 published public-data studies4 synthetic demonstrations51 planned or developing topics

Retail and e-commerce

2 published studies · 1 planned or developing topics

Published findings & demonstrations

Planned topics & work in progress

These topics are separate from completed findings. Each status reflects the work actually performed.

S01 / Retail and e-commerce

Customer value and promotion concentration

A retail marketing director must decide which customer segments deserve limited campaign capacity. Test whether forward-looking customer value identifies future high-value households better than recent spending alone, while detecting dependence on discounts.

Awaiting prerequisite

Proposed design & source

Hierarchical count/spend models; gradient boosting; customer value

Create household-month snapshots from transactions, baskets and available promotion records. Predict next-quarter purchasing and net sales using only prior history. Model transaction frequency and basket value separately; compare a hierarchical count/spend model with gradient boosting. Track discounted and full-price purchasing as separate outcomes.

Evaluation: Use rolling quarterly holdouts and household-clustered uncertainty. Compare against recency-frequency-monetary scoring and last-quarter sales. Report forecast error, calibration by value decile, top-budget value capture, and sensitivity to returns and discount accounting.

Boundary: The frequent-shopper panel is selective. Promotion exposure is observational: the project cannot establish incremental sales caused by a coupon or prove retention ROI.

dunnhumby — The Complete Journey ↗

The 60-topic program spans 20 industries, with 9 studies published. Synthetic demonstrations are counted separately. Unpublished topics have no public case-study route.