I translated demand, inventory, financial targets, and system signals into planning decisions across accountable retail roles.
Professional Body of Work
Retail Planning & Analytics at Scale
More than 15 years translating demand, inventory, margin, promotions, lead times, capacity, and system signals into commercial decisions across stores, ecommerce, wholesale, and major category businesses.
Project overview
Oracle Retail implementation, national allocation, and ecommerce inventory planning.
$500M+ category responsibility, 650+ stores, and documented forecast and availability improvements.
Selected scale
Planning responsibility and measurable business results.
The figures below represent professional scope and outcomes from accountable retail roles. Proprietary source data is not reproduced.
Selected operating cases
Different businesses, the same decision discipline.
Each case shows how I combined financial planning, inventory signals, operating constraints, and cross-functional communication.
Enterprise systems implementation
Oracle Retail, forecasting logic, and 500+ user adoption
As a business SME during an Oracle Retail implementation, I partnered with Business Solutions and IT on data mapping, product-ID normalization, forecasting and replenishment logic, sandbox QA, documentation, training, and rollout support for 500+ users. The documented case shows a 40% improvement in forecast accuracy versus the legacy flat-lift model and a 30% reduction in stockouts.
Omnichannel implementation
Design, testing, rollout, and store enablement
I helped design, test, and launch Buy Online, Pick Up In Store and Ship From Store capabilities across three brands, then translated the new operating model for an audience of 800+ store managers. The work connected system behavior, inventory rules, store operations, testing, and change enablement.
National allocation
$250M+ inventory across 650+ stores
I directed inventory flow across a large store network by balancing capacity, demand patterns, store performance, category priorities, and allocation exceptions while communicating risks and actions to planning and leadership partners.
Category planning
$500M+ commercial decision support
I translated sales, margin, inventory, vendor, promotion, and demand signals into forecasts, risks, opportunities, and executive actions for a major beauty category.
Ecommerce and wholesale
Inventory expansion across channels
I managed ecommerce inventory flow for Levi's and Dockers, supported online size expansion, and contributed to Amazon wholesale onboarding that helped launch a new digital revenue stream.
Procurement and margin
Consolidated footwear buying
I managed $100M+ in footwear inventory and consolidated vendor buys to improve cost leverage and reduce cost of goods while maintaining availability.
Store-opening operations
45+ openings in one year
I coordinated furniture inventory flow, delivery timing, operational readiness, and cross-functional logistics for an accelerated store-opening program.
Representative artifact
A decision view that turns variance into action.
This reconstructed example demonstrates the structure of a planning review without exposing employer data.
| Signal | Interpretation | Decision question | Recommended action |
|---|---|---|---|
| Sales +12% to plan; weeks of supply below target | Demand is stronger than the receipt plan can support | Can available receipts be advanced without creating margin or capacity risk? | Chase priority styles, protect high-productivity locations, and update the forecast |
| Inventory +18% to plan; sell-through below expectation | Receipts or demand assumptions are misaligned | Is the issue timing, assortment, price, placement, or distribution? | Reduce future receipts, rebalance inventory, and test targeted demand levers |
| Margin below plan during promotional volume growth | Revenue is being purchased too expensively | Does the volume justify the margin and inventory consequences? | Reforecast margin, narrow the offer, and protect full-price inventory where possible |
| Store cluster stockouts with network inventory available | Allocation logic is not matching local demand | Can inventory be redirected before the demand window closes? | Reallocate units, revise cluster parameters, and monitor recovery |
Operating method
How I approach planning work
- Establish the financial, inventory, margin, and service objectives.
- Separate demand change from timing, distribution, pricing, and data-quality effects.
- Quantify the month, quarter, season, and year impact.
- Identify controllable levers, constraints, and decision deadlines.
- Translate the analysis into clear actions, owners, and follow-up measures.
Evidence and confidentiality
Public examples are sanitized or reconstructed because original forecasts, dashboards, vendor information, and employer records are proprietary. The page distinguishes verified professional scope and outcomes from representative artifacts created to show how the work is structured.
What you can test here
A reconstructed planning calculator using fictional inputs. It illustrates an operating method, not a historical employer forecast or verified business result. Demand is assumed constant.
Change the fictional inputs, run the scenario, inspect its exceptions and source references, and export a review record. Added October 14, 2026. This public demo is a separate artifact from any earlier private implementation or historical professional work.