AI-Powered Inventory Optimization: $1.8M Carrying Cost Reduction for US Retailer

The retailer had $28M in inventory across 45 locations with 35% overstock and persistent stockouts on top sellers. Manual buying decisions based on gut feel and spreadsheets were costing millions.

For many Retail organizations across the United States, this type of operational bottleneck is all too familiar. Manual processes, legacy systems, and disconnected workflows create compounding inefficiencies that cost both time and revenue — often without leadership having a clear line of sight into the true cost.

HarborGoods Retail needed a partner who understood the technical complexity and the business urgency. Delivery speed mattered, but so did long-term maintainability, security, and the ability to scale as the business grew.

We built an AI demand forecasting system using XGBoost models trained on 4 years of POS data, enriched with weather, local events, and promotional calendars. Automated replenishment recommendations integrated with their ERP.

Our engineering team architected the solution with production scalability in mind from day one — not as an afterthought. Every component was evaluated against real-world load expectations, and the system was designed to handle growth without requiring expensive re-architecture six months after launch.

We maintained weekly video demos with HarborGoods Retail's leadership throughout the build. This meant no surprises at launch and full stakeholder alignment at every milestone. Every sprint delivered working, tested software — not just progress reports.

Started with top 100 SKUs by revenue. Proved ROI in 90 days. Expanded to full catalog of 8,000+ SKUs over 6 months.

The Retail sector in the United States is undergoing rapid digital transformation. Organizations that invest in custom software and AI-powered automation today are building structural advantages that will be extremely difficult for competitors to close — lower cost structures, faster response times, and better customer experiences compounding year over year.

This project for HarborGoods Retail is a strong example of what's achievable when business requirements are clearly defined, technology choices are made deliberately, and delivery is structured around measurable outcomes rather than billable hours.

For US companies in the Retail space evaluating similar investments: the ROI case is typically clearer than expected, and the risk is manageable with the right partner and the right contract structure. Fixed-price engagements with milestone-based payments and clear acceptance criteria protect both sides and keep projects on track.