Helping AutoNova Automotive
to Become Next Spinny
AutoNova Automotive is a next-generation automotive brand on a mission to simplify
How India buys and sells pre-owned cars online. Inspired by the success of platforms like Spinny and Cars24. AutoNova envisioned a powerful digital experience that could attract modern car buyers and sellers looking for transparency, trust, and speed.
They approached us with ambitious plans: a feature-rich platform with advanced filters, financing tools, and inspection workflows all within a 3 to 4 month launch timeline. That’s when we stepped in not just as a delivery partner, but as strategic consultants, helping them pivot towards a focused Minimum Viable Product (MVP) powered by scalable tech, smart feature prioritization, and fast execution.
Services
We Provided
Requirements Elicitation & Stakeholder Collaboration
Engaged with stakeholders to capture clear, aligned business needs. Facilitated workshops to ensure shared vision and objectives.
MVP Strategy using MoSCoW Prioritization
Defined a focused MVP by prioritizing features using the MoSCoW method. Ensured efficient resource allocation and faster time-to-market.
Technology Stack Consultion
Recommended the MEAN stack for scalable, full-stack development. Ensured alignment between technical capabilities and business goals.
Functional Documentation & Flow Mapping
Created detailed documentation outlining key system behaviors. Visualized user and data flows to guide development accurately.
The
Challenges
Unrealistic Timeline
The client aimed to replicate Spinny’s end-to-end experience within a 3–4 month window without clarity on effort, dependencies, or backend complexity.
Undefined Tech Stack
The client was undecided between monolithic vs. scalable stacks, with no in-house technical direction.
Lack of Product Clarity
With a vision but no formalized user journey or MVP roadmap, requirements were fragmented and vague.
Expectations vs. Budget Reality
They wanted premium-grade features like 360° views, inspection APIs, and EMI engines all in the first release.
The
Solution
We took a consulting-first approach to help AutoNova Drive build a digital foundation that was lean, focused, and launch-ready:
✅ Strategic MVP Definition
We implemented the MoSCoW method to facilitate productive conversations with stakeholders, clearly defining:
Must-Haves: Car listings, search, filters, user accounts, enquiry flows
Should-Haves: EMI calculator, shortlist, basic admin control
Could-Haves: Side-by-side comparisons, price estimators
Won’t-Haves (for now): Inspection API integrations, car finance tie-ups
This helped realign the team around what was truly launch-critical.
✅ Scalable Tech Stack Decision
After assessing future scalability and development speed, we recommended the MEAN stack (MongoDB, Express, Angular, Node.js) allowing for modular front-end builds and performance optimization.
✅ Wireframing + Flow Mapping
Using Figma, we designed a responsive, intuitive flow for both buyers and sellers tailored to Indian user behavior.
Major UX blocks included:
Smart filters (price, fuel, brand, owner type)
Car detail pages with specs, images, and enquiry
Seller journeys with guided forms and stats
✅ Agile Rollout Planning
We divided the entire roadmap into 3 Phases:
Phase 1: Core listings, search, enquiries, user accounts (MVP)
Phase 2: EMI calculator, seller dashboards, filter enhancements
Phase 3: Advanced features like price comparison, inspections
The
Impact
⚙️ 70% Feature Reusability for Future Phases
Thanks to modular architecture and MEAN stack flexibility, future features can now be integrated without overhauling core components.
💡 Shifted Client’s Mindset from “Build It All” to “Build What Matters”
Our consulting-first approach didn’t just help build a platform it empowered the client to understand product thinking, agile delivery, and long-term scalability.
🎯 Increased Enquiry Conversion by 25% in Month 1
With the intuitive UI and clean enquiry forms, AutoNova received high-quality leads from day one.
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