Pranjul Purohit

Product Manager

Bengaluru, Karnataka, India5 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Led successful product revamps increasing user engagement.
  • Developed innovative tools improving data analysis efficiency.
  • Scaled e-commerce operations significantly enhancing revenue.
Stackforce AI infers this person is a Product Manager with expertise in SaaS and E-commerce, driving innovation and operational efficiency.

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Skills

Core Skills

Product ManagementData AnalysisMarketingData Science

Other Skills

AIBillingCRMCommunication StrategyCustomer App RevampCustomer SupportData AnalyticsE-commerceHTML5JavaScriptJiraLocation AccuracyMachine LearningManagementMarket Research

Experience

Dpdzero

Senior Product Manager

Jun 2024Present · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

  • The next big thing in Fintech

Brick&bolt

Product Manager - 2

Jun 2023May 2024 · 11 mos · Bangalore Urban, Karnataka, India · On-site

  • 1. Built internal task based CRM for Sales team(150+) leading to 12% increase in bookings, and revenue impact of 70L/month.
  • 2. Increased organic leads by 50% using locality and keyword specific landing pages, SEO optimisations and tools like cost estimator and more.
  • 3. Lead customer app revamp to increase time spent on app by 30%, digitise processes and reduce activation TAT by 50%.
  • 4. Built industry first, floor plan search module to increase designs re-usability by 2X and reduce TAT for architects by 30%.
  • 5. Implemented journey based communication strategy to increase conversions, reduce booking TAT by 10% and nurture long tail leads.
  • 6. Conceptualised materials marketplace to upsell construction material to users, improving bottom line and providing more choice to customers.
CRMSEOCustomer App RevampCommunication StrategyMarketplace ConceptualizationProduct Management+1

Flamingos.ai

Co-Founder

Jan 2023May 2023 · 4 mos · Greater Bengaluru Area

  • 1. Simplifying data analysis and insight generation for business teams through AI < > Data.
  • 2. Conceptualised the idea, through market research with over 70 users from e-commerce, finance and MSMEs.
  • 3. Built SQL based querying tool which performed better than GPT-3 and supported up to 5 layers of subquerying.
  • 4. Ran POC with 3 seed stage startups and 1 MSME for their data teams. Leading to 40% reduction in querying TAT for data analysts.
AIMarket ResearchSQLData AnalysisProduct ManagementData Science

Captain fresh

2 roles

Product Manager - 1

Promoted

Jul 2021Dec 2022 · 1 yr 5 mos

  • 1. Scaled 0 -> 1 B2B2C e-commerce vertical to 5 cities and 10 Cr/month NMV and 3K resellers with a team of 10 engineers, QA and PMs.
  • 2. Built VO of digital assets including consumer website, last mile delivery, order management, communication stack, discounting, app etc.
  • 3. Increased AOV by 50% through upselling, product bundling and cart initiators while increasing first order conversion by 30% using communications, discounting and other levers.
  • 4. Improved D60 retention by 35% through customer loyalty program, improved customer support, subscriptions and whatsapp communications.
  • 5. Built marketplace integrations with e-commerce players like zepto, swiggy, amazon to manage B2C inventory, orders, discounting and more.
  • 6. Implemented growth levers to acquire resellers and provide them an earning of 10k rs using whatsapp catalogues, product stocking, white labelling etc.
  • 7. Designed modular task app to digitise on-ground processes from sourcing ,mid-mile logistics and returns increasing material traceability by 40% .
  • 8. Conceptualised OMS 2.0 to support orders from multiple nodes including B2B, B2C, international and offline.
  • 9. Worked on international invoicing and traceability for marine products, helping the org scale up international business from 2Cr to 40 Cr/month.
E-commerceOrder ManagementCustomer SupportMarketplace IntegrationProduct ManagementData Analysis

Associate Product Manager

Aug 2020Jun 2021 · 10 mos

Bounce

Product Management Intern

Jun 2019Dec 2019 · 6 mos · Greater Bengaluru Area · On-site

  • 1. Increased KPIs(billing distance and average revenue) by 15% using new distance calculation methods for better accuracy.
  • 2. Building unified billing platform for various bike hardware and firmware versions to improve location accuracy by 20% at trip end.
BillingLocation AccuracyProduct Management

Slice

Marketing Intern

Apr 2018Jul 2018 · 3 mos · Greater Bengaluru Area · On-site

Education

Birla Institute of Technology and Science, Pilani

Msc. Economics and Manufacturing Engineering

Jan 2015Jan 2020

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