■ Achieved an 85% retention rate with retail grocery and SaaS supply chain product teams through strategic and operational product management leadership on supply chain transformations powered by
● ■ 12% reduction in OpEX through the end-to-end adoption of Electronic Shelf Labels, centralized inventory management, and POS systems for a Chicago-based grocery store. ■ Evangelized a B2B SaaS ERP for a brewery using a hybrid of AI-based Bloomreach CDP and a dual delivery loop for GTM to accelerate time-to-money by 25%. ■ Ideated, iterated, and launched a retail store operations Super App for a regional
grocer, which included workforce scheduling and task assignment, resulting in 18% savings in annual labor costs.

■ Single-threaded product management executive for a team of 13 - 20 program, product, Data, and UX managers owning the price execution operations for a SaaS AI/ML pricing engine. ■ Replatformed WFM's item data catalog to achieve 99% labeling accuracy, averting $2M in FDA fines due to inaccurate ingredient labeling. ■ Reduced price execution cycle time by 98% (2 weeks to 1 day) leveraging predictive pricing models, Large Language Models, and AMZN proprietary tools - IoT Core, Glue, Kinesis, Sagemaker, Lex, and Supply Chain. ■ Leveraged predictive pricing models from Neilsen, Dunnhumby, and home-grown AI/ML SaaS tools, reducing shrinkage due to wastage by 13%.
■ Integrated Whole Foods' ecommerce platform with Amazon.com, achieving 85% adoption in 3 months, leading to a 65% increase in grocery orders and a 9% revenue boost.

■ Expanded SaaS cloud-based Pro Xtra Configure Price Quote platform to sell products and services from HD Supply, adding $12.5M in yearly Net Recurring Revenue (NRR) from net new vendor contracts.
■ Boosted FY2021 sales by relaunching a volume purchase pricing strategy based on LTV for HD Pro brand products, resulting in a revenue increase of $25M. ■ Spearheaded the conception and launch of a centralized SaaS cloud supplier onboarding and analytics platform, slashing time to shelf by 75%.

■ Spearheaded re-platforming efforts, leading 6 product teams to sunset outdated on-prem inventory management systems with GCP-based hybrid end-to-end systems that increased inventory turnover by 11% and reduced fresh produce shrinkage by 5%. ■ Improved product search accuracy to ~95% by incorporating data quality management, AI/ML Elastic Search, and real-time auto-suggestions to the item data catalog, doubling the BOPIS orders.

■ Implemented reduction strategies to tackle high Excess & Obsolete (E&O) inventory consumption, slashing E&O levels from 15% to 7% of total inventory and liberating capital and storage space. ■ Rolled out advanced analytics to address poor demand forecasting and rectify stock imbalances, improving forecast accuracy from 70% to 85%.

Built a strong systems engineering and data science foundation, architecting and launching ERP systems for hi-tech manufacturing ecommerce on Linux, Python,