Rahul Kumar N
E-commerce And Q-commerce
Bangalore
Summary
A competent professional experience in E-commerce domain, with skills in supply chain & demand planning management, sales and marketing & Vendor management practices.
Overview
5
5
years of professional experience
Work History
Vendor Acceleration Services/Brand Manager
RK World Infocom Private Limited
04.2024 - Current
- Coordinated weekly data sharing, including Sales, inventory, and brand scorecard reports to drive business transparency and performance.
- Managed the process for uploading deals, maintaining deal calendars, and tracking special activations, ensuring timely execution aligned with business goals.
- Led the monthly preparation of virtual combos Sales reports and weekly cost uploads for new launches, enabling accurate demand planning and accountability.
- Executed event planning activities by developing and sharing event forecasts and tracking real-time metrics during live events for actionable insights.
- Partnered with finance teams to reconcile CCOGS agreements and facilitate short payment reconciliation, supporting monthly claims and financial health.
- Oversaw catalogue management through weekly master mapping updates, rapid issue resolution with marketplace partners, and tracking of unhealthy inventory and EAN status.
- Monitored supply chain efficiency by tracking fill rates, resolving FC-related issues, and managing weekly pending appointment reports for order flow optimization.
- Administered order drops for PO management, including depot flipping and appointment rescheduling, to ensure seamless logistics and timely deliveries across supply chain nodes.
Business Operations Specialist
RK World Infocom Private Limited
06.2022 - 04.2024
- Lead position on launching new brands across the Baby, Beauty, Health and Personal care, Personal Care categories, with the oversight to manage, foster and maintain a working base of to attain optimum level of vendor experience and performance with complete focus on Selection addition, P&L of all brands.
- Proven record working in the areas of commercial management, sourcing initiatives, accounting/finance, invoicing, and in-bounding.
- Closely coordinating with Amazon for timely appointments for the stock delivery.
- Discussing with brands about the monthly offers by reviewing the previous offers & close the deal which they would like to give for Amazon end Customers.
- Devising and implementing multiple vendors centered projects to improve the internal processes and enhance the vendor experience.
- Working with multiple stakeholders like vendors, Marketing team and warehouse to ensure the timely launch of new products.
- Support team, work collaboratively to contribute to achieving organization’s business goals. Resolve and provide solutions to issues to the vendors.
Loan Specialist
Home Credit
11.2021 - 05.2022
- Solving customer's QRC (query, Request, Complaints) related to loans through digital platforms.
- Educated customers about billing, payment processing and support policies and procedures.
- Asked open-ended questions to determine which products or services would be best fit for customer's needs.
- Developed exemplary writing skills through continued correspondence with upwards of approximately 160+ customers per day.
Education
Bachelor of Business Administration -
RNS First Grade College
Pre University -
Sri Krishna PU College
class 10th -
Akshara International school
Skills
Program Management
Problem solving
MS office
Process Analysis
Business Intelligence
Operation efficiency
Timeline
Vendor Acceleration Services/Brand Manager
RK World Infocom Private Limited
04.2024 - Current
Business Operations Specialist
RK World Infocom Private Limited
06.2022 - 04.2024
Loan Specialist
Home Credit
11.2021 - 05.2022
Pre University -
Sri Krishna PU College
class 10th -
Akshara International school
Bachelor of Business Administration -
RNS First Grade College
Projects
Selection:
‣ Scaled up diverse workstreams including onboarding over 30+ vendors (Direct Fulfillment + Fulfillment Center) in the Beauty and Luxury Beauty segment during FY'23, overseeing the entire process from commercial close to successful business establishment at Amazon; consistently outperformed BA goals by +3.68% (Q2), +5.56% (Q3), and +6.89% (Q4).
‣ Enhanced FTAC (Fast Tracking ASIN Count) efficiency by coaching vendors to optimize advertising investments and secure compelling promotional offers on targeted products, driving sustained improvements in conversion and FTAC performance. Achieved FTAC performance above OP2 by +4.02% (Q2), +3.61% (Q3), and +4.86% (Q4), while maintaining performance within 1.39% (Q2), 0.94% (Q3), and exceeding by 0.76% (Q4) against IOP targets.
‣ Negotiated vendor transitions effectively between Direct Fulfillment (DF) and Fulfillment Center (FC) models, including onboarding new vendors and converting existing ones between DF and FC, ensuring seamless operational execution and business scalability. Successfully managed transitions 3.1k products in Q2, 4.1K in Q3, and 4.8K in Q4, driving supply chain efficiency and sustained business growth.
Image Competitor Pricing Compliance (ICPC%)
Developed a Power BI dashboard to monitor Image Competitor Pricing Compliance (ICPC%) across brands and ASINs using daily competitor pricing feeds, enabling rapid identification of pricing gaps, analysis of Glance View (GV) impact, and data-driven price matching decisions based on profitability, inventory, and competitive benchmarks.
P&L:
• Presented vendor-level Month-To-Date (MTD) and Estimated-To-Date (ETD) Profit & Loss (P&L) and CCOGS for the Luxury Beauty segment, providing financial visibility across the portfolio and consistently delivering ETD/MTD P&L performance of +1.0% (100 bps) versus OP2 and +0.2% (20 bps) versus IOP.
• Identified vendor-level P&L gaps through detailed cause-and-effect analysis, partnering with Account Managers to develop data-driven recovery plans that accelerated vendors' path to profitability and improved overall portfolio health.
• Designed and managed an automated dilution tracker updated twice daily for top products, enabling proactive burn-rate monitoring and recovering more than 1.5% (150 bps) of P&L through timely corrective actions and profitability interventions.
• Automated daily dilution and MTD P&L reporting processes, improving team productivity by approximately 2–3 hours per day while enhancing reporting accuracy and decision-making speed.
• Monitored vendor-level Average Selling Price (ASP) trends, proactively identifying pricing declines and escalating risks to Account Managers, helping protect margins and maintain profitability targets across key vendors.
Automation:
• Developed and implemented automated workflows using Python and Power Automate to distribute detailed sales, inventory, and input metric reports to 40+ vendors, eliminating manual reporting efforts and saving 2–3 hours daily (~15 hours per week) while improving accuracy and consistency in vendor communications.
• Automated the generation of custom vendor-level input and output metric reports for internal Weekly Business Reviews (WBRs), reducing report preparation time by over 85% by automating metric data preparation, saving individual metric owners approximately 1–2 hours per reporting cycle and enabling faster, data-driven business decisions.
• Created VBA Macros in Excel to automate repetitive operational and analytical tasks, including extracting basic business details and streamlining recurring processes, saving approximately 2–3 hours per task depending on work complexity while minimizing manual effort and reporting errors.
• Designed and maintained an automated daily dilution tracker for P&L analysis, providing near real-time profitability insights to Account Managers, enabling recovery of over 1.5% (150 bps) in P&L through proactive corrective actions and pricing interventions.
Amazon Now channel Assortment Optimization:
• Designed and implemented a data-driven assortment optimization framework for the Amazon Now channel, leveraging McKinsey's Analytical Assortment Optimization methodology, Bain's SKU rationalization principles, and a custom 9-box ABC-XYZ model. Built a scalable decision engine to evaluate SKU productivity across sales, profitability, inventory health, fill rate, demand variability, and competitive coverage metrics, enabling informed assortment decisions across thousands of products.
• Developed an automated SKU classification and risk-scoring model that assessed products based on contribution (ABC), demand stability (XYZ), inventory health (DOH), margin performance, fill rate, and category coverage gaps. Created recommendation logic to identify SKUs for retention, expansion, delisting, replacement, or watchlisting, helping optimize assortment productivity while balancing selection, profitability, and inventory efficiency.
Skills
- Scaling up diverse workstreams
- Automation
Hobbies and interests
>Travelling
>Watching scifi movies/Tv series