BA Agent · Retail Intelligence

Retail Business Review

Task retail-602b0bef3a19 · dataset complete-journey:retail · CC0 · source 5b5d061 · 1,469,307 transactions · weeks [52, 53] · generated in 807 ms

Sales$194,022+7.9% vs prior

Units5,292,686

Baskets5,908

Avg basket$32.84

Executive summary

The store × commodity slice moved -377.3 in sales versus the comparison window.
329 contributed +1,368.7 of listed sales change.
SOFT DRINKS contributed +1,599.1 of listed sales change.
Observed average line sales are +71.3% versus A.

Decision charts

Key business drivers

Finding	Driver	Impact	Score
Store 429 × COUPON/MISC ITEMS concentrates a high-impact decline	Cross-dimensional store and commodity movement	10% of the absolute scanned store × commodity movement.	0.48
Store 329 is a major positive contributor	Store contribution	13% of the absolute listed store movement.	0.49
Commodity SOFT DRINKS is a major positive contributor	Commodity contribution	17% of the absolute listed commodity movement.	0.54
0 is associated with stronger line sales	Merchandising association	The association identifies a candidate merchandising opportunity, not a causal effect.	0.97
Store 367 deviates materially from peer-week sales	Store-level anomaly	The deviation warrants targeted diagnostic follow-up.	0.86
Campaign 18 has the highest observed household redemption rate	Observed campaign-to-redemption funnel	This identifies a campaign pattern for follow-up; it does not estimate incremental campaign lift.	0.85

Opportunities

Observed average line sales are +71.3% versus A.
Latest store-week sales have a z-score of +3.29 against the current peer-week distribution.
Latest store-week sales have a z-score of +2.32 against the current peer-week distribution.

Priority actions

P0

Inspect product, promotion and availability proxies for store 429 within COUPON/MISC ITEMS before applying a broad intervention.

Target: store=429, commodity=COUPON/MISC ITEMS

10% of the absolute scanned store × commodity movement.

Monitor: Sales / units / conversion proxy / availability proxy

P1

Validate the drivers behind 329 and test whether the positive pattern is repeatable.

Target: store=329

13% of the absolute listed store movement.

Monitor: Sales / units / conversion proxy / availability proxy

P2

Validate the drivers behind SOFT DRINKS and test whether the positive pattern is repeatable.

Target: commodity=SOFT DRINKS

17% of the absolute listed commodity movement.

Monitor: Sales / units / conversion proxy / availability proxy

P2

Run a matched-store/product analysis before scaling the display change.

Target: display=0

The association identifies a candidate merchandising opportunity, not a causal effect.

Monitor: Sales / units / conversion proxy / availability proxy

P2

Inspect product and promotion mix for store 367.

Target: store=367

The deviation warrants targeted diagnostic follow-up.

Monitor: Sales / units / conversion proxy / availability proxy

Monitoring

Track the highest-impact negative contributors in the next analysis window.
Validate merchandising associations with matched store/product comparisons before rollout.
Re-run the same benchmark after material model, planner, or skill changes.