Pranav Bansal

Product Manager

Bangalore Urban, Karnataka, India4 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Successfully scaled logistics impacting 2.5M+ sellers.
  • Led multiple 0→1 product launches in e-commerce.
  • Expert in product management and data analytics.
Stackforce AI infers this person is a Product Manager specializing in logistics and e-commerce solutions.

Contact

Skills

Core Skills

Product ManagementData Analytics

Other Skills

Team LeadershipJiraMySQLPython (Programming Language)Management ConsultingData ScienceBig DataFinancial AccountingFinancial ModelingInvestment BankingMachine LearningNoSQLMongoDBRC (Programming Language)

About

PM owning multiple 0→1 and scale charters across seller fintech, trust & safety, and in-house logistics (Valmo), working closely with finance, central ops, CX, and logistics teams. Built and scaled platforms touching 2.5M+ sellers and a top-3 India e-commerce logistics network, directly moving P&L (claims, RTO, CPS), reliability, and user trust.

Experience

Meesho

6 roles

Product Manager - Valmo

Promoted

Jan 2025Present · 1 yr 2 mos

  • 1→100: Scaling Valmo (In-house Logistics)
  • Owned the end-to-end roadmap for the Valmo Pilot (delivery partner) Acquisition & Activation charter for Meesho’s in-house logistics arm, defining pilot churn, activation time, and supply reliability as core success metrics.
  • Designed and shipped a new app-led onboarding flow that cut activation time from ~10 days (manual, ops-heavy) to <10 minutes, unlocking real-time pilot activation and materially improving supply availability across hubs.
  • Built a foundational, distributed platform that orchestrates real-time data exchange between Valmo and 3 OpsTech partners, now used as the integration layer on which multiple product and ops teams build.
  • Used funnels, cohorts, and on-ground feedback to iterate on onboarding UX and guardrails, reducing Pilot churn from ~20% to <5% and improving delivery reliability in newly scaled geographies.
  • Partnered closely with central ops, finance, CX, and logistics to align incentives, rollout sequencing, and risk guardrails, ensuring that product changes translated into measurable CPS and SLA impact and were operationally adoptable at scale.
Product ManagementData AnalyticsTeam LeadershipJira

Product Manager - Meesho Grocery

Jun 2024Dec 2024 · 6 mos

  • 0→1: Meesho Grocery – Quality & Trust
  • Owned the demand-side product charter for Meesho Grocery’s 0→1 launch, with a core focus on building user trust and solving for perceived product quality.
  • Led deep problem discovery with users, CX and category teams to identify that lack of transparent, real-time quality signals was the biggest barrier to adoption.
  • Designed and built the ratings & reviews platform for Meesho Grocery from scratch, enabling structured collection of user feedback and surfacing it back on the app at a product level.
  • Defined and rolled out NQD (Net Quality Detractor) as the first quality guardrail metric for Grocery, enabling the business to monitor quality issues in near real time across SKUs, cities and cohorts.
  • Used NQD and review insights to drive systematic quality improvements (catalog curation, supplier actions, experience fixes), reducing repeat bad experiences and strengthening trust in Meesho Grocery.
Product ManagementData AnalyticsTeam Leadership

Product Manager - Meesho Branded Packaging

Jul 2023May 2024 · 10 mos

  • 0→1: Meesho Branded Packaging Platform
  • Led the 0→1 product and platform build for Meesho’s branded packaging system, targeting a core trust/P&L problem: wrong products reaching users and driving claims/RTOs.
  • Defined the end-to-end architecture tying together packaging IDs, orders, sellers, and logistics events into a single real-time graph, enabling traceability for every shipped parcel.
  • Designed and launched one of Meesho’s largest distributed integrations, connecting with 10+ packaging partners and 5+ 3PL/Valmo partners across multiple supply-chain legs.
  • Drove seller adoption to 50%+ of Meesho’s seller base (~2.5M registered sellers) and scaled branded packaging to ~40% of monthly order volume, making it part of the default dispatch workflow.
  • Partnered with Trust & Safety, Logistics, and Seller Experience to use packaging data as a guardrail against wrong-fulfilment and fraud, reducing investigation ambiguity and improving claim decisioning and user trust.
Product ManagementData AnalyticsTeam Leadership

Product Manager - Seller Claims

Promoted

Jan 2023Jun 2023 · 5 mos

  • 0→100: Return Pickup QC Platform (Params QC & Smart QC)
  • Led the build-out of Meesho’s return pickup quality check (QC) platform to address a core P&L problem: high seller claims driven by wrong items being picked up from users.
  • Deep-dived into claims data and on-ground workflows to identify that a large share of losses came from delivery boys picking up incorrect products – due to both genuine mistakes and fraudulent behaviour.
  • Designed and launched Params QC and Smart QC, a rules + intelligence-based framework embedded into the return pickup flow, guiding delivery boys to verify and pick up the correct product every time.
  • Used QC as both an enablement and deterrence layer – simplifying genuine pickups while making it harder for pilots to commit fraud during return collection.
  • Significantly reduced the share of wrong-product pickups from users, which in turn led to a meaningful drop in inflated seller claims and direct P&L losses for Meesho.
Product ManagementData AnalyticsTeam Leadership

Associate Product Manager - Seller Returns

Jul 2022Dec 2022 · 5 mos

  • 0→100: Solving Seller Returns & RTO Comprehension
  • Led the charter to improve seller understanding of returns and RTOs on Meesho, tackling a core problem: sellers had no clear visibility into their return/RTO performance at product or aggregate level.
  • Discovered that this “black box” around returns/RTOs led sellers to inflate prices to cover unknown risk, directly impacting pricing competitiveness on the platform.
  • Designed and launched a Returns & RTO analytics suite on the seller panel – including a dedicated Returns tab and RTO tab – giving sellers clear, self-serve visibility into their metrics across SKUs, time and cohorts.
  • Bridged the gap between perceived vs actual return/RTO rates, improving seller comprehension and enabling more rational, data-backed pricing decisions.
  • Established end-to-end tracking and visibility for returns and RTOs for the first time on Meesho’s seller platform, laying the foundation for future nudges, education, and profitability tools for sellers.
Product ManagementData Analytics

Associate Product Manager - Seller Payments

Oct 2021Jun 2022 · 8 mos

  • 0→100: Automating Meesho Seller Payouts
  • Owned the 0→1 build and rollout of Meesho’s seller payouts platform, moving from a fully manual, ops-heavy process to a system-led, automated flow serving 2.5M+ registered sellers.
  • Defined the core success metrics (payout TAT, failure rate, support tickets, reconciliation accuracy) and drove the roadmap across payments, data, and finance stakeholders.
  • Aggregated and normalised data from orders, returns, penalties, incentives, and disputes to create a single, reconciled payouts ledger, solving the complexity of being the most downstream team in the value chain.
  • Integrated with multiple payment gateways and payout partners, implementing retries, failure handling, and real-time status tracking to reduce payout delays and errors.
  • Turned payouts into a real-time, auditable, self-serve experience for sellers, reducing payout-related support volume and creating the foundation for future credit / fintech products on top of the same infrastructure.
Product ManagementData Analytics

Fractal

2 roles

Data Engineer

Oct 2020Sep 2021 · 11 mos · Mumbai, Maharashtra, India · Remote

  • Building Data Dashboards for Fortune 500 CPG Clients

Trainee

Jul 2020Sep 2020 · 2 mos · Mumbai, Maharashtra, India · Remote

  • Learning & Practicing how to build

Pwc india

Management Consultant

Jul 2019Dec 2019 · 5 mos · Gurgaon, Haryana, India · On-site

  • Consulting for Global Oil & Gas clients

Tata motors

Strategy

May 2018Jul 2018 · 2 mos · Pune Area, India · On-site

  • Learning creation of Commercial Vehicles & Passengers Vehicles end to end journey.

Inspired karters fs

Aerodynamics Engineer

Jan 2017Dec 2017 · 11 mos · Pilani, Rajasthan, India · On-site

  • Trying to build an in-house Formula 1 car

Education

Birla Institute of Technology and Science, Pilani

B.E. (Hons) — Mechanical Engineering

Aug 2016Jul 2020

SD Vidya School

class XII - 92.4% (PCM-95℅)

Jan 2014Jan 2016

Delhi Public School - India

class X - 10 CGPA

Jan 2008Jan 2014

DLF Public School

Jan 2000Jan 2008

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