LEAD PRODUCT MANAGER · BENGALURU

Products built for millions.
Decisions grounded in outcomes.

I’m Mahendra. Over 8.9 years, I’ve led AI, search, customer experience and commerce products across Bajaj Finserv, PhonePe and banking operations.

SELECTED OUTCOMES 01 / 03
3.99Munique users of Bajaj Finserv Gen AI Chat
~62%lower search exit rate
95%PhonePe support automation

Figures are project outcomes from the periods noted in the case studies.

AI & PRODUCT STRATEGYFINTECH & COMMERCECUSTOMER EXPERIENCE

SELECTED WORK / 2017—PRESENT

Five products. Different problems.
One focus on measurable change.

Scan the outcomes, then open the work that matters most to your team. Detailed historical material remains available in the original portfolio PDF.

CONVERSATIONAL AI · RAG · FINTECH

From service bot to product channel.

The challenge was to serve and sell across many financial journeys without losing answer quality. I led product strategy and requirements for a GPT-4o and RAG-powered chat experience integrated with Azure Cognitive Search across 14 verticals.

3.99Munique users
7.65Mmonthly sessions
₹7.4 Crannual savings, FY24–25

Product decisions

  • Evolved retrieval from GPT-3.5 hierarchical routing toward Azure Cognitive Search-based semantic retrieval.
  • Co-developed prompt framing, edge-case coverage, output constraints and numerical guardrails for financial answers.
  • Balanced service automation with sales journeys and human escalation.

What changed

  • 81% fewer agent-handled requests with 96.2% bot accuracy.
  • 405% year-over-year chat adoption growth; 5.1-second response latency while scaling.
  • ₹38.3 Cr in loan disbursements and about 25,500 EMI card disbursements during Apr–Dec 2025.

The original portfolio contains the earlier product walkthrough, features and screens. Its historical metrics describe an earlier stage of the product.

ONDC · E-COMMERCE

Building for repeat purchase on an open network.

Since January 2026, I’ve owned Hamara Mall, Bajaj Finserv’s ONDC-native commerce product, with responsibility for product priorities across grocery, electronics, fashion and other categories.

8.7Mplatform sessions, FY26
0.9Mplatform orders, FY26
₹3.1 Crplatform GMV, FY26

Product decisions

  • Shipped Order Again, Multi-Seller Cart & Coupon, Source-Based Banners and Default Address Selection.
  • Sequenced GMV growth, seller onboarding and order quality initiatives with RICE-based prioritization.
  • Worked across engineering, catalog, logistics and compliance.

What changed

The platform contributed 11.3% of India’s ONDC retail orders in FY26. Search latency and core web vitals improved by 62%, supporting lower bounce and better discoverability.

PAYMENTS · CUSTOMER EXPERIENCE

Support that starts in the transaction.

Customers needed help with payment outcomes without repeating transaction details to an agent. I designed guided, transaction-aware support flows across consumer, merchant and agent channels.

3M+tickets handled monthly
95%automation rate
9supported languages

Product decisions

  • Placed support in the transaction screen with status-aware summaries, guided issue choices and escalation paths.
  • Introduced a 48-hour in-app status check for pending UPI transactions.
  • Used multilingual journeys to improve accessibility for consumers, merchants and agents.

What changed

  • Automation improved from 78% to 95%.
  • Pending-transaction tickets fell by 30%; agent fallback scenarios fell by 15%.
  • Customer satisfaction reached approximately 72%.

The original portfolio contains the full flow and product screens.

AGENT EXPERIENCE · OPERATIONS

Make the right resolution easier to deliver.

Agents needed to interpret transaction context, choose a response and update tickets quickly and consistently. I designed the Unified Agent Panel around guided workflows and transaction-aware support.

35%lower average handle time
91man-days saved per month
1-clickactions for common issues

Product decisions

  • Connected ticket context and transaction details to guided issue selection.
  • Used curated responses, one-click actions and automatic ticket-property updates.
  • Added an agent feedback loop for response quality and workflow improvement.

What changed

The panel reduced average handle time by 35% and saved 91 man-days per month. Agents spent less effort on repetitive steps and more on complex customer issues.

The original portfolio preserves the detailed workflow and screens.

HOW I WORK

Strategy, delivery and the details between.

01

Define the customer friction

Start with the user journey, operational constraints and the metric that would prove improvement.

02

Make trade-offs explicit

Use evidence and prioritization frameworks to sequence work across engineering, design and business partners.

03

Measure after launch

Track adoption, quality, revenue and cost outcomes, then iterate on what the data shows.

ABOUT

Product leadership across AI, fintech and commerce.

Currently Lead Product Manager at Bajaj Finserv in Bengaluru. Previously Senior Product Specialist at PhonePe and Automation Specialist / Product Analyst at Virtusa for CitiBank. I manage eight APMs and work across product strategy, roadmaps, experimentation and cross-functional delivery.

The PDF is a historical archive with earlier-stage metrics and a 7.3-year biography. This site uses the current confirmed 8.9-year profile.