A decision-first view of market-cluster plays, account stories, and recommended action types grounded in the Perfect Account engine.
The system is using the existing Perfect Account scoring, gap detection, and recommendation logic to identify where execution fixes can unlock the most modeled value.
The first read shows different decision lanes: value recovery, field-actionable work, and strategic category or on-premise conversion.
Why it matters: Selected because it carries the largest controllable modeled value while retaining a clear owner and verification path.
Leads to: Confirm the recurring stock/order break, align distributor follow-up, and validate the next replenishment cycle.
Why it matters: Selected because field actionability, effort, and verification make it the fastest practical first-wave move.
Leads to: Check menu, back-bar, tap, or cocktail visibility and run a venue-level visibility reset in the first-wave accounts.
Why it matters: Selected because category or premium-plus signals point to expansion rather than pure recovery.
Leads to: Confirm authorization/ranging status, prioritize the missing SKU set, and prepare the sell-in or distributor range request.
Demo-model estimate tied to visible execution gaps across the account universe.
How close accounts are to their channel and account-type standard.
Repeated commercial blockers generated from KPI evidence.
Repeatable actions used across the recommendation queue.
Accounts showing traits that could justify focused action.
314 accounts show this as the top current blocker.
Execution problem groups combine KPI gaps, category opportunity, competitive pressure, and account context into commercial diagnoses.
Demand is present, but replenishment and in-stock discipline are leaking sales.
Competitors are occupying too much shelf or display space in accounts with material upside.
The account is already close to standard; the right move is monitoring and selective reinforcement.
The brand is present enough to matter but not visible enough at the point of bartender choice.
High-value Tier 1 accounts where execution gaps are suppressing value.
Strong Tier 1 accounts with enough headroom to move closer to top-tier performance.
Tier 2 accounts with the best modeled chance to behave like future Tier 1 accounts.
Recommended action types translate the leading gaps into first actions, owners, evidence, and verification signals.
Visible modeled upside tied to this playbook family.
Visible modeled upside tied to this playbook family.
Visible modeled upside tied to this playbook family.
Visible modeled upside tied to this playbook family.
The biggest fixable gap is out-of-stock rate, and this playbook provides the cleanest next action.
The biggest fixable gap is assortment compliance, and this playbook provides the cleanest next action.
Tequila is the strongest commercial signal and assortment compliance is blocking conversion.
Whiskey potential is high, but the account needs a tighter range and visibility reset.
Open an account story to inspect the diagnosis, evidence, KPI gaps, playbook, and scenario preview.
Mass Retail in Atlanta | Whiskey lead signal
Cedar House 040 is leaking demand through availability. Availability recovery need priority: Whiskey demand signal, 56/100 modeled potential, $2.5M upside, and a first blocker in out-of-stock rate.
Restaurant in Dallas | Gin lead signal
Juniper Pantry 033 is leaking demand through availability. Availability recovery need priority: Gin demand signal, 63/100 modeled potential, $2.3M upside, and a first blocker in out-of-stock rate.
Stadium / Arena in Detroit | Beer/Stout lead signal
Lakeside Pantry 065 needs stronger bar visibility before the next visit. Bar / menu / tap visibility gap priority: Beer/Stout demand signal, 80/100 modeled potential, $348K upside, and a first blocker in back-bar share.
Grocery in Atlanta | Beer/Stout lead signal
Lakeside Pantry 091 is leaking demand through availability. Availability recovery need priority: Beer/Stout demand signal, 83/100 modeled potential, $343K upside, and a first blocker in out-of-stock rate.
Charts stay in the supporting layer so the first screen remains action-led instead of report-led.
All opportunity, tier-up, and upside values use deterministic MVP logic from the scoring, ranking, gap, recommendation, and upside modules. They are not validated forecasts.