Overstocked inventory in fulfillment centers leading to high monthly storage fees, and recurring packaging errors resulting in rejected shipments and delayed sales.

Digital inventory management via shipping plans based on actual sales velocity, and precise box-level content organization to ensure immediate shipment acceptance.

Inability to determine actual net profit margins per SKU due to complex platform commissions, return processing fees, and randomly deducted hidden costs.

Connecting data to interactive Power BI dashboards to extract and analyze all financial data, filter all hidden fees, and automatically reconcile them for accurate reporting.

Wasting hundreds of hours monthly on manual catalog updates and inventory syncing across platforms, causing stockouts and cancelled orders.

Engineering automated workflows via n8n engines to interconnect platforms, sync inventory in real-time, and update listings without direct human intervention.

Difficulty competing on price and weak Return on Ad Spend (ROAS) due to a lack of clear market data, competitor moves, and pricing gaps.

Utilizing Python scripts and Data Scraping techniques to digitally scan the market, analyze competitor pricing, and direct PPC campaigns based on hard data.