Give Hero MotoCorp an agentic layer across its dealer and service network: service-due reminders that actually convert, dealer support on parts and warranty, and VIDA EV inquiry handling — protecting the service-revenue annuity and dealer experience its scale depends on.
World's largest two-wheeler maker by volume with dominant share in the Indian commuter segment; distribution and service span ~6,000 touchpoints reaching deep into semi-urban and rural India.
Public factLaunched the VIDA brand for electric scooters and is publicly investing in EV product and charging partnerships while defending its ICE commuter core.
Public factHero FinCorp, its financing associate, finances a large share of purchases — creating adjacent EMI and loan-servicing conversations tied to the same customer.
Public factAfter the free-service period, service retention likely leaks heavily to roadside mechanics; a two-wheeler serviced outside the network is lost parts and accessory revenue and a weaker trade-in relationship.
Reasoned inferenceDealer staff likely spend hours daily on phone work — service reminders, booking calls, parts queries — in whatever language the town speaks, with no instrumentation.
Reasoned inferenceValidate with the account team before outreach: DMS landscape across the dealer network and API readiness for slot booking · Who owns service-retention economics (OEM vs dealer) and how a shared pilot is structured · Hero FinCorp adjacency — whether financing conversations can ride the same rails
Limited internal ability or appetite to build the core platform — strong candidate for the packaged solution
Evidence: A manufacturing and distribution giant whose IT is enterprise-standard and vendor-delivered; digital initiatives (app, VIDA) are built with partners, and there is no internal conversational-AI platform capability.
Why they won't build the full stack: OEM engineering belongs in product and manufacturing; a conversational stack spanning telephony, vernacular speech, and DMS integration across 6,000 touchpoints is a bought platform by any rational make-buy test.
Management commentary emphasizes premiumization, EV scale-up (VIDA), and rural-demand recovery as volume drivers
GTM implication: Service retention and EV-funnel conversion are the two conversation-dependent levers inside that story
Parts and accessories highlighted as a growing revenue stream
GTM implication: Service-retention automation directly defends the parts annuity — quantifiable per retained visit
| Workflow | Why it matters here | Value | Complexity | Speed | Channels |
|---|---|---|---|---|---|
Service-due reminders & booking conversion Two-way vernacular reminders with slot booking in-conversation; service retention and reminder conversion measured per dealer. | The service annuity across a ~100M-vehicle parc is enormous; every retained service visit is parts revenue plus relationship continuity. Friction today: Dealers send SMS blasts or dial manually; conversion is unmeasured; customers drift to roadside mechanics silently after free services end. | WhatsAppVoiceSMS | |||
Dealer network support line (parts, warranty, schemes) Instant grounded answers on parts, warranty procedure, and current schemes in the dealer's language; claims guided in-flow. | ~6,000 touchpoints generate constant parts-availability, warranty-claim, and scheme-clarification queries that field teams answer ad hoc. Friction today: Dealer staff wait on area-office callbacks; warranty claims bounce on format errors; scheme details reach the network unevenly. | WhatsAppVoice | |||
VIDA EV inquiry & test-ride conversion Minutes-fast, grounded EV answers with test-ride booking at the nearest touchpoint; funnel instrumented. | EV consideration is question-heavy (range, charging, subsidies); slow or thin answers lose buyers to Ola and Ather's direct-to-consumer polish. Friction today: EV questions hit dealers unevenly trained on the new products; leads decay between inquiry and test ride. | WhatsAppVoiceWeb chat |
Voice & channel orchestration, telephony, conversational execution, session/state, routing, integration build. Capability coverage validated during implementation.
API access to these systems is the critical-path dependency.
Identity-bound sessions, policy-bounded actions, 100% audit logging, human approvals at defined points, in-tenant intelligence.
All figures are modelling estimates from the labeled inputs above — nothing here is customer-provided yet. The pilot's first job is replacing these assumptions with Hero MotoCorp's measured baseline. Package price covers implementation only; recurring usage billed separately.
Why this package for Hero MotoCorp: Two-three workflows (service reminders, dealer support, EV lead handling) across voice and WhatsApp with DMS integration — scale scope with obvious expansion into financing and roadside-assist journeys.
Packages cover implementation and integration only. Recurring costs are billed separately: Tilicho Labs platform usage (~$0.15/call-min indicative, usage only), Google Cloud consumption, telephony/carrier charges, managed operations, and support & optimization. No package includes unlimited usage.
“Hero's moat is reach into towns competitors cannot serve; an agent speaking every one of those towns' languages makes that reach a service advantage, not just a sales one.”
“One DMS-grounded layer serves customers and 6,000 dealer touchpoints alike — replacing untracked dealer phone work with instrumented conversations.”
“Service-bay utilization improves when bookings arrive confirmed; dealer staff hours move from dialing to wrenching and selling.”
“Service retention becomes a managed, per-dealer metric with reminder-to-booking attribution — the parts annuity defended with data.”
“Consent-governed, DND-compliant outreach with full logging protects the brand across millions of monthly customer contacts.”
“Reminder-to-booking conversion and parts-revenue retention are directly measurable in a pilot region — a revenue case, with cost deflection as the bonus.”
Written from this account's own research — the strategic signal, the capability gap, the entry workflow, and the modelled economics — not a mail-merge template. Pick the moment and the persona, edit anything, then copy or open in your mail client.
Customer-safe by construction: drafts are composed only from customer-facing fields. Account tier, build-vs-buy classification, priority score, internal routing, and partner-commercial detail are not inputs to the composer, so they cannot appear in a draft. Money figures are always framed as modelled from the customer's own volumes. Read before sending — you own what goes out.
The world's largest two-wheeler manufacturer by volume, selling ~5M+ units a year through ~6,000 customer touchpoints into small-town India — service bookings, financing tie-ins, and the VIDA EV push generate mass vernacular conversation volume across the dealer network.
Pilot in one zone: automated vernacular service reminders with in-thread booking across 50 dealers, measured on booking conversion and service retention vs control dealers.
Entry: Service-due reminders & booking conversations · Scale package · 10–14 weeks to production across priority workflows. Human fallback throughout; success thresholds agreed before build.
Start the pursuitResearch-based priority-account universe assembled from public information, market scale, communication volume, and solution fit. This is NOT an authoritative list of top Google Cloud customers; existing Google Cloud relationships are noted only where publicly reported. Validate every account with the account team before outreach.