Vipul Khanna — CEO

I build products and businesses at the intersection of AI, IoT and messy, real-world operations. For the last 6+ years at WheelsEye, I’ve been a core operator–builder on India’s largest fleet telematics platform, working across GPS, GPS Pro, Diesel Sensors, Dashcams and a new AI-led product stack for field-heavy businesses. Before that, I spent ~4.5 years as AVP – Revenue & Pricing at FabHotels, where I helped scale a hotel network in a brutally competitive market, owning pricing, category management and revenue growth. Early stints at ZS and TCS, plus a Computer Science degree and a 730 GMAT (15 days prep), gave me the analytical foundation; startups gave me the scar tissue. What I’m good at: • 0→1→N product building in ambiguous spaces – from whiteboard to scaled rollouts • Sitting at the intersection of hardware, software and field ops (IoT devices, sensors, cameras, telematics) • Turning on-ground behaviour (drivers, fleet owners, sales teams) into product systems and incentives • Revenue + product thinking together – P&L, payback, unit economics, not just feature roadmaps • Working with founders and CXOs as an internal entrepreneur, not as a narrow-function manager What I care about next: • Vertical AI + workflow products for field sales, service, logistics, infra, etc. • IoT / edge + cloud products that move actual business outcomes, not just dashboards • India-scale problems where success means changing how an entire industry operates day-to-day I enjoy high-autonomy, high-accountability environments where the ask is: “Here’s a hard problem with real stakes. Go figure it out end-to-end.” Always open to thoughtful conversations with founders, operators and investors building in these spaces.

Stackforce AI infers this person is a SaaS and Hospitality product leader with expertise in AI and revenue management.

Location: Greater Delhi, India

Experience: 13 yrs

Skills

Product Strategy
New Business Development
Ai / Machine Learning (applications)
Revenue Management
P&l Management

Career Highlights

Led AI product development for field-heavy businesses.
Scaled hotel operations from 5K to 200K room-nights/month.
Implemented dynamic pricing, boosting revenue by 13%.

Work Experience

WheelsEye

Director Product (6 yrs 7 mos)

FabHotels

AVP - Revenue & Pricing (2 yrs 4 mos)

Project Manager (1 yr)

Senior Project Analyst (1 yr)

ZS

Business Analyst (1 yr 1 mo)

Tata Consultancy Services

Assistant Software Engineer Trainee (8 mos)

SkiDT

Intern (4 mos)

Education

at Bhavan's SL Public School, Amritsar

Bachelor of Technology (B.Tech.) at Guru Nanak Dev University

Vipul Khanna

CEO

Greater Delhi, India13 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Led AI product development for field-heavy businesses.
Scaled hotel operations from 5K to 200K room-nights/month.
Implemented dynamic pricing, boosting revenue by 13%.

Stackforce AI infers this person is a SaaS and Hospitality product leader with expertise in AI and revenue management.

Contact

Skills

Core Skills

Product StrategyNew Business DevelopmentAi / Machine Learning (applications)Revenue ManagementP&l Management

Other Skills

IoT / TelematicsCategory ManagementData-driven Decision MakingGo-to-Market StrategyB2B SaaSCore JavaProgrammingDatabase AdministrationOraclePL/SQLJava

About

Experience

13 yrs

Total Experience

2 yrs 7 mos

Average Tenure

6 yrs 7 mos

Current Experience

Wheelseye

Director Product

Nov 2019 – Present · 6 yrs 7 mos · Gurugram · On-site

WheelsEye is India’s leading fleet telematics and logistics SaaS platform, serving tens of thousands of SME fleet owners. I operate as an internal founder across the core telematics stack and a new AI-led product portfolio for field-heavy businesses.
Key responsibilities & charters:
Lead New Product Development (NPD) for the telematics stack – GPS, GPS Pro, Diesel Sensors, Dashcams – from problem discovery with fleet operators to scaled rollouts.
Work end-to-end across hardware design, vendor/EMS management (China & India), device reliability, pricing and unit economics.
Build a new AI-powered product line on top of our telematics footprint, focused on improving how field teams sell, service and operate.
Design and refine collection + incentive systems for a 2,000+ strong Feet-on-Street sales team to improve payment discipline, revenue quality and median performance.
Partner with founders and CXOs on 0→1 bets, market selection and long-term product strategy.
In practice: I spend time with drivers, fleet owners, field sales, hardware vendors, data scientists and leadership, translating messy real-world needs into products that actually get used.

Product StrategyNew Business Development

Fabhotels

3 roles

AVP - Revenue & Pricing

Promoted

Jul 2017 – Nov 2019 · 2 yrs 4 mos

I joined FabHotels in its early growth phase (pre–Series A) and helped scale the business through multiple funding rounds (Series B, B1), with end-to-end ownership of revenue, category P&L and central ops.
Scope & ownership
Led the pan-India Category function with full P&L ownership – setting up processes from scratch, building and leading the team, and working closely with founders and cross-functional leaders.
Owned the annual business plan for my charter, including forecasting, competitive benchmarking, and delivering on both revenue and profitability targets.
Worked at the intersection of product, sales, marketing, and operations to drive growth playbooks across cities and categories.
Key outcomes
Scaled operations from ~5K to 200K room-nights/month, helping drive the company from pre–Series A to Series B/B1 scale.
Grew the portfolio to a ₹30 Cr/month revenue run-rate, through a mix of pricing, category expansion and channel strategy.
Designed and implemented a Dynamic Pricing system that improved revenue by ~13% across both high- and low-demand periods.
Defined channel margin structures, partner payout models and consumer promotions, balancing growth with contribution margins.
Steered the company through a major platform shock (GoMMT delisting), rebuilding ~40% of lost revenue by aggressively growing direct channels to ~85% share.
Improved CSAT for both guests and hotel partners by setting up central operations and tightly closing feedback loops.
Built and scaled an Inside Sales engine, adding ~₹4 Cr in incremental monthly revenue.
Reduced hotel partner churn by ~15% MoM over 3 consecutive months through better engagement, economics and service.
In practice, this role was a blend of revenue science, product thinking, and on-ground operations—owning everything from spreadsheets and pricing algorithms to hotelier relationships and firefighting on peak-demand days.

Revenue ManagementP&L Management

Project Manager

Jun 2016 – Jun 2017 · 1 yr

Lead revenue management & growth function; manage & drive a revenue management team of 10+
Ensure highest marketing ROI, constantly optimizing for faster growth & higher profitability
Worked with internal & external stakeholders, managed key demand side relationships
Contributed to development of key revenue management features

Senior Project Analyst

Jun 2015 – Jun 2016 · 1 yr

Zs

Business Analyst

May 2014 – Jun 2015 · 1 yr 1 mo · Gurgaon, India

Top 3 associate in forecasting team, led development of forecasting models for US/ Brazil pharma clients
Led client interaction on 2 key projects
Managed a team of ~5 associates

Tata consultancy services

Assistant Software Engineer Trainee

Aug 2013 – Apr 2014 · 8 mos

Early engineering stint working on enterprise software projects, giving me exposure to large-scale technology delivery, SDLC and working with global teams.