Irtasam Afzal

- Led a cross-functional team of 10 individuals from Business Development, Account Management and Commercial Operations. - Scaled an average monthly order volume of 44.5k on the delivery platform, driving a monthly GMV of 24M PKR via strategic sales campaigns and data-driven acquisition. - Managed a 1.6M PKR co-marketing campaign budget across top key city partners to maximize ROI and drive growth in GMV and GFV. - Onboarded 110+ restaurant partners, driving 5% MoM growth in basket size and revenue, and

- Negotiated supplier rates and commercial terms to support business goals, reducing cost per unit by 8–12%. - Defined and implemented OKRs for multiple product categories, successfully eliminating negative margins entirely. - Increased app downloads by 9% through coordinating marketing initiatives in the assigned commercial region. - Designed dashboards and reporting tools to track vital metrics (order accuracy, delivery time, cost per order) and provided actionable insights. - Increased pricing accura

- Maintained KPIs for newly onboarded partners during the first 30 days, including order cancellation rate, offline hours, OTD, and OTIF. - Achieved <0.9% order cancellations and maintained inventory offlining below 8% through targeted data analysis. - Facilitated cross-functional collaboration across supply, finance, and local logistics teams to improve performance and develop scalable solutions for operational challenges. - Reduced onboarding timelines to 2 days by successfully training newly onboarded

- Ensured 98% customer order fulfillment rate in liaison with Customer Supply Chain, Demand & Supply Planning and Transport team. - Achieved Inventory Record Accuracy of 99.96% (Highest in zone AOA) by digitalizing the Inventory Reconciliation process through in house development of BOT. - Reduced overtime by 55% by upskilling team members. - Delivered paper sheets savings of 700K per annum by digitizing paper-based pick slips.

- Participated in projects where real-time data from production lines were analyzed to identify bottlenecks and areas for improvement. - Worked with demand forecasting models powered by data analytics, optimizing inventory levels and reducing costs associated with overproduction or stockouts. - Explored how the company reduces its environmental impact through sustainable engineering practices in manufacturing plants.