BRENDEN CAVAZOS

Product · Strategic Network Exit Tool

How the Excess-Inventory Diagnostic Works

A decision-support product that turned scattered excess-inventory signals into a prioritized, root-cause-ranked action queue -- replacing manual triage with a repeatable workflow that routes each problem to the team best positioned to fix it before liquidation became the default outcome.

33%

overstock inventory reduced

250+

associates trained

Enterprise

scale after handoff

Win in Digital

recognition award

Workflow, at a Glance

Flow diagram: fragmented pricing, inventory, item-setup, and site-performance signals feed a rules-based diagnostic step that evaluates likely root cause and dollar impact. The output splits into an aggregate executive summary and an item-level desk-level action queue. Both route corrective action to the team best positioned to act -- merchandising, replenishment planning, or site merchandising. Continuous monitoring keeps the underlying root-cause and priority data current, resulting in corrective action taken before liquidation becomes the default outcome.

A simplified view of the signal-to-action logic. Exact business rules, thresholds, and source systems are intentionally generalized for this public one-pager.

How It Works, Behind the Scenes

In general terms, the tool continuously evaluates each excess item against a set of common root causes -- item publication status, pricing and promotional state, buy-box competitiveness, page traffic and conversion, and catalog quality -- and returns a plain-language explanation instead of a raw number. That evaluation runs as decision-tree logic built directly into the underlying SQL: each item moves through a chain of conditional checks in BigQuery until it lands on the most likely explanation, and the same query logic calculates the dollar-impact ranking used downstream. Those root causes are then grouped and ranked by dollar impact so the highest-value issues surface first, and routed to whichever team is actually positioned to fix them: merchandising, replenishment planning, or site merchandising. The same underlying model powers both an executive-level aggregate view and an item-level desk view, so leadership and operators are always looking at the same logic.

Technology Behind the Tool

Capabilities Demonstrated

Prepared by Brenden Cavazos as a public, generalized summary. Internal thresholds, data sources, system names, and confidential process details are intentionally omitted. See the full case study for context and additional impact detail.