Commercial Execution CockpitDetect to Diagnose to Allocate to Execute to Verify
Rule-based MVPModeled demo dataNo external integrationsNeeds field validation
Opportunity Workbench

Ranked account stories

Use filters to narrow by opportunity cluster, category, playbook, trade type, and KPI gap without changing the underlying scoring logic.

Rankings are modeled
Clear
Highest ROI Actions

Accounts where the top next-best action carries the largest simulated upside.

Each card opens with the commercial story: opportunity cluster, evidence, first playbook, confidence, and modeled upside.

Visible accounts
30

After current filters.

Visible modeled upsideModeled MVP
$44,786,217

Sum of visible recommendation estimates and account upside.

Average PA Score
71

Across visible account cards.

Opportunity cluster158 accounts

Availability recovery need

Demand is present, but replenishment and in-stock discipline are leaking sales.

Modeled upside
$56,362,882
Avg PA score
78
Top accounts
Cedar House 040, Juniper Pantry 033, Cedar Market 028
Opportunity cluster33 accounts

Competitor shelf pressure

Competitors are occupying too much shelf or display space in accounts with material upside.

Modeled upside
$13,294,758
Avg PA score
83
Top accounts
Copper Ridge Social 037, Foundry Bottle Shop 042, Juniper Market 032
Opportunity cluster91 accounts

Protect and maintain execution

The account is already close to standard; the right move is monitoring and selective reinforcement.

Modeled upside
$5,061,785
Avg PA score
96
Top accounts
Meridian Corner 102, Juniper Kitchen 171, Cedar Market 134
Methodology

Filters only change what is visible on the page. They do not change the underlying scoring, ranking, recommendation, or upside logic.