OEMs, dealer networks, motor financers, and insurers — the entire Indian mobility ecosystem runs on intelligence that's wholesale-level. ZOOP Analytics delivers the retail-level, near-real-time alternative through Motor Sales Intelligence.
Automotive is where ZOOP Analytics goes deepest. Beyond the broader analytics spine, this industry has its own dedicated suite — Motor Sales Intelligence — that delivers retail-level visibility across every segment (2W, 4W, CV, Taxi), every tier (national to RTO), and every buyer in the value chain (OEM, dealer, financer, insurer). The use cases below are delivered through MSI; click through to the MSI page for the full architecture.
The boardroom questions we're already answering across this industry.
Illustrative sample below — anonymised, for format reference only.
Large markets the focus model already leads — defend and monetise.
Small ponds already owned — maintain efficiently.
Small and not ours — watch, don't fund.
Big markets someone else owns — the conquest prize.
Match economy/mid/premium trims to the buyer persona dominant in each dealer's catchment — built from actual registration outcomes cross-mapped against demographics, not survey inference. Inventory reflects who is actually buying.
Score every dealer against catchment opportunity. Separate genuine underperformance from a tough catchment — and find the white-space pincodes where a new appointment will land.
Pinpoint geographies where the EV-buyer profile actually clusters. Plan charging infrastructure, marketing intensity, and showroom rollouts with precision instead of national rules of thumb.
Premium 2W demand pockets — emerging geographies for ₹2L+ motorcycles. Direct input for brand strategy, dealer appointments, and trim-level launches.
3-year registration-based festive uplift index by state and model. State × model × month inventory allocation — eliminates festive stockouts and post-festive overhang.
Cross-walk of campaign spend with retail registration outcomes by geography. Direct attribution at the RTO level — what worked, what didn't, where to double down.
Registrations by segment/geography, model-mix trends, and dealer-territory performance — tracked from actual 2W/4W registration data. A shipped dashboard surface, not a backend score alone.
The product lines this industry uses most — explore each in depth.
The dedicated MSI suite — observability, diagnostics, predictability.
Read more →Captive finance whitespace and dealer-linked financing push.
Read more →Compliant lead generation for OEMs and dealers.
Read more →OEM-vs-OEM spend pressure mapping by geography.
Read more →The foundational pincode-level affluence read.
Read more →Self-serve persona discovery for marketing teams.
Read more →Send us one decision you're working through — a launch market, a branch site, a network gap, a campaign plan. We'll come back with a snapshot from the analytics spine within 48 hours.