About

Operations and planning

• Managed B2B fulfillment across 50+ accounts and 1,000+ SKUs, directing daily outbound operations for 1,000+ orders (up to 3,000 at peak) under each retailer's vendor routing guide and compliance requirements.
• Reviewed incoming orders, resolved shipment exceptions, made shipment-readiness decisions and set outbound priorities.
• Planned daily labor allocation across 10–16+ associates from incoming volume, historical processing rates and capacity data, securing shared labor ahead of demand spikes.
• Forecast daily workload from advance customer notices and historical throughput, working with the overseas and customer-service teams; every forecast workload was completed on schedule.
• Coordinated picking, pallet preparation, packaging supply and outbound execution with warehouse teams, office staff, customer service and overseas teams.

Systems and process design

• Replaced a paper-based outbound process (handwritten, inconsistent order sheets and no progress tracking) with WarehouseFlow, a web fulfillment platform I designed and built with AI coding tools (Firebase, Vercel, daily WMS API imports), used by ~10 people daily.
• Turned frontline pain points into requirements, workflow changes and process fixes; proposed every platform change and tested each one by running the real process end to end.
• Digitized task dispatching, barcode scanning, order traceability and exception monitoring: a wrong SKU was blocked at packing, and timing started at Start rather than at assignment, so processing times measured work, not waiting.
• Designed the retail-wave flow for Walmart, Target and Best Buy: one batch pick across several POs, sorted and labeled by distribution center and PO, palletized per center.
• Linked the outbound shipping schedule to live warehouse progress, flagging each order as ready, in process, at risk, overdue or unlinked.
• Fixed an import data-quality gap: orders the WMS API returned without line detail failed the import instead of being created empty.
• Piloted the platform with one crew and fixed issues on the spot; launched it in April 2026 and kept iterating through July.

Automation and reporting

• Automated order-document printing with UiPath, cutting a full-day task for 3–4 office staff to one person overseeing an automated run and ending warehouse wait time for paperwork.
• Built a Google Sheets / Apps Script returns-scanning tool that checks each return against SOP and logs it in one keystroke, removing manual entry and screen-switching.
• Automated nightly operations summaries and weekly management reports, emailed directly from the platform.
• Gave managers real-time visibility into order volume, worker progress, account-specific processing time and bottlenecks, replacing paper status checks; used the processing-time data in my daily workload forecast and labor plan.

Results

• Sustained zero missed orders from the April 2026 launch through August 2026, including Prime Day 2026 and major brand sales.
• Absorbed a rise in daily orders from hundreds to 1,000+ with no added headcount, keeping every shipment on time.
• Saved 1–2 hours of daily administrative work by replacing paper checks and manual order follow-ups with centralized tracking.

• Led a 6-member consulting team working directly with startup founders to turn a rural hospital network's expansion strategy into facility-selection criteria, models and deliverables.
• Built and audited a dataset of about 80 rural healthcare facilities in Kansas from Definitive Healthcare data, evaluating financial, operational and demographic indicators and isolating anomalies to separate structural risks from one-time events.
• Built a reusable weighted scoring model in Excel, with weights set together with the client, narrowing 80 candidate facilities to a 20-facility shortlist.
• Built the Power BI benchmarking dashboards.
• Applied predictive analysis using historical performance and demographic variables.
• Presented the evaluation parameters, recommendations, and short- and long-term implications to the founders as pre-launch research.

• Cleaned and analyzed sales and operational data for 6 stores in Excel and Tableau, identifying store-level demand and seasonal patterns that supported weekly replenishment and merchandising decisions.
• Forecast seasonal demand trends for inventory planning and merchandising.
• Tracked third-party platform sales and identified high- and low-velocity products for promotion, pricing and assortment planning.

• Used Excel and SQL for airport-scheduling and route-planning analysis, running existing analytical models and passing results to the operations team.
• Segmented customers by value to identify behavior patterns.
• Summarized flight-cancellation, airport-shuttle and COVID-related operational data for airport–city transportation planning.