Illustrative Synthetic Data — This prototype does not contain confidential or actual Unilever commercial data.

US Growth GPS

Commercial Decision Intelligence — Illustrative Prototype

Simulated shelf capture

Illustrative image recognition on a synthetic shelf. No real photography, planogram or measurement is used.

Competitor B96%Vaseline Lotion 73%Vaseline Lotion 75%Knorr Bouillon 690%Competitor A93%Competitor A97%Competitor A96%Competitor A79%Talenti Pint88%Axe Body Spray 480%Private label77%Competitor B82%Competitor A74%Axe Body Spray 496%Degree Advanced 92%Competitor B78%Private label92%Competitor B76%Suave Shampoo 3079%Private label90%Competitor B84%Competitor B82%Lipton Tea 100ct74%Competitor A77%Private label87%Talenti Pint80%
Detection confidence 84%

Our facings Competitor facings Detected gap / missing facing

Facings detected

26

Share of shelf

38%

Target 52%

Planogram compliance

74%

Missing facings

1

Value of correction

$6.1k/mo

Shelf gaps and commercial value

Each detected gap is translated into modelled incremental sales.

Suave Shampoo 30oz

Empty facing detected · confidence 79%

$1.4k/mo

Share of shelf is 14% below the agreed level; correcting it is modelled at $4.7k per month for this outlet.

Execution follow-up

What the field team is asked to do, and how it is verified.

Outlet

Cedar Creek Fresh Market

Supermarket

Monthly run rate

$38.7k/mo

Detected our facings

10

Competitor facings

16

Recognition confidence

84%

Average across detections

Re-capture cadence

Every visit

Corrective task

Restore 4 facings for our priority SKUs, refill 1 detected gaps and re-capture the shelf before leaving the outlet. Task creation requires supervisor approval; no order is placed automatically.

Progress towards agreed share of shelf

Illustrative Synthetic Data — This prototype does not contain confidential or actual Unilever commercial data. Recommendations require human approval before any order or task is created.