Jan 2024 – Jan 2025 · 1 yr · Gurugram · On-site

• (Procurre: Facilities & B2B store-delivery division serving Meesho, Flipkart, Swiggy, and other large platforms.)
• Launched and scaled a high-traffic B2B website supporting nationwide seller and restaurant demand from Meesho, Flipkart, and Swiggy.
• Implemented tamper-proof batch manufacturing of polybags with unique barcodes, automating barcode syncing with Meesho systems—reducing RTO rates by 4% and permanently eliminating multiple fraudulent activities in the logistics supply chain.
• Drove 150% sales growth by expanding distribution channels in high-demand cities and introducing advance cash sales, significantly improving company cash flow.
• Introduced a milk-run delivery model for local supply, reducing local logistics costs by 55% and overall logistics costs by 28%, while improving TAT from 2 days to same-day delivery.
• Scaled Procurre to contribute ~21.5% of total company revenue at 5.6% EBITDA, establishing it as a high-impact, profitable division.

Jun 2023 – Dec 2023 · 6 mos · Gurugram · On-site

• Created centralized reporting frameworks and introduced a data-first operating model using KPI-driven dashboards across logistics and procurement.
• Identified cost leakages in logistics billing, resulting in savings of ~₹75 lakhs through data-backed interventions.
• Managed and mentored a team of 5 analysts, centralizing billing and procurement processes across the organization.
• Led organization-wide transition to formal communication channels (email & chat tools) and eliminated WhatsApp usage, improving data security, auditability, and operational performance.

Jul 2022 – Jun 2023 · 11 mos

• Built MOP (Monthly Operating Plan) planning models to forecast demand, costs, and margins.
• Developed the first printing optimization model using competitive pricing benchmarks, Days of Holding (DOH), and shelf-life constraints to improve inventory efficiency.
• Spearheaded the foundation and heavy lifting of GPPO logic and frameworks, creating a single unified revenue table with all revenue line items calculated at order-ID level, improving financial visibility and reconciliation accuracy.
• Automated recurring reports and dashboards, significantly reducing manual effort and improving leadership visibility into business performance.

Jan 2022 – Jun 2022 · 5 mos

• Led zonal-level performance analysis to track operational KPIs across cities, supporting data-driven decision-making for supply and rider allocation.
• Designed and implemented rider fraud detection frameworks, identifying anomalies in delivery behavior and reducing operational leakages.