Maruti's ownership promise is built on service ubiquity and resale value; an agentic layer for service-appointment booking, lead follow-up across Arena/Nexa, and dealer-network support turns network scale into conversation scale without dealer-by-dealer staffing.
Maruti Suzuki holds roughly 40% of India's passenger-vehicle market, selling around 2M vehicles a year through the Arena and premium Nexa retail channels.
Public factIts service network of 5,000+ touchpoints across ~2,500 cities is the largest in Indian auto and a central pillar of its brand promise and resale-value story.
Public factMaruti entered the EV market with the e Vitara and is scaling exports — adding new-buyer education and charging-ecosystem queries to its funnel.
Public factService retention beyond the free-service period leaks to independent garages; timely, low-friction booking and reminders are the proven retention lever for OEM networks.
Reasoned inferenceDealer-level lead follow-up quality likely varies enormously across thousands of outlets — a standardized agentic follow-up layer would raise the floor network-wide.
Seller hypothesis — validateValidate with the account team before outreach: Dealer-management-system heterogeneity and central API readiness · Ownership split: Maruti corporate vs. dealer-funded CX tooling · Existing telephony/CRM vendors across the network
Limited internal ability or appetite to build the core platform — strong candidate for the packaged solution
Evidence: Maruti's differentiation is manufacturing scale and network ubiquity, not software; its IT estate is dealer-management and ERP-centric and it has historically bought enterprise technology. There is no consumer-AI build ambition — standardizing 5,000 touchpoints is a vendor-run rollout problem.
Why they won't build the full stack: A build would require central AI engineering Maruti doesn't maintain, then federated deployment across thousands of independently-owned dealer endpoints — exactly the templated rollout a packaged solution exists for. Suzuki-group technology decisions also favor proven procurement.
Management emphasis on record exports, the e Vitara EV entry, and the service network as the ownership-promise moat.
GTM implication: Service retention in paid-service years is the profit-pool metric — pitch bay-fill and retention lift per dealer cohort, with EV-education workflows as the forward hook.
| Workflow | Why it matters here | Value | Complexity | Speed | Channels |
|---|---|---|---|---|---|
Service booking, reminders & status Conversational booking, pickup scheduling, and proactive status in regional languages across the network. | Parts and service are a core profit pool; retention depends on beating the local-garage convenience gap. Friction today: Workshop phone lines busy at 9am; pickup coordination manual; status calls interrupt service advisors. | WhatsAppVoiceApp | |||
Lead follow-up & test-drive booking (Arena/Nexa) Minutes-level standardized follow-up with test drives booked into dealer calendars, attribution per campaign. | Footfall digitized; leads now arrive online and decay in dealer WhatsApp inboxes. Friction today: Follow-up speed and quality vary by dealer; national campaigns leak at the last mile. | WhatsAppVoice | |||
Dealer-network support desk Instant grounded answers on parts, warranty, and schemes for dealer staff in their language. | Thousands of dealer staff query parts availability, warranty policy, and scheme details daily. Friction today: Dealer queries ride zonal-office relationships and email chains. | WhatsAppVoice |
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 Maruti Suzuki's measured baseline. Package price covers implementation only; recurring usage billed separately.
Why this package for Maruti Suzuki: Service appointments plus lead follow-up spans two BUs (service and sales channels Arena/Nexa) and thousands of dealer endpoints — Scale scope with a standardized rollout template per dealer.
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.
“Maruti's scale advantage compounds only if every one of 5,000 touchpoints converses as well as the best one. An agentic layer is network standardization at the speed of software.”
“One central deployment federated across dealer-management systems — dealers adopt a channel, not a project. Every conversation grounded on your parts, service, and scheme data.”
“Service-bay utilization and pickup logistics are scheduling problems. Conversational booking smooths intake across the day and cuts advisor interruptions from status calls.”
“The floor of dealer lead-handling defines your conversion, not the ceiling. Standardized minutes-level follow-up raises the floor across Arena and Nexa nationwide, campaign by campaign.”
“Customer outreach is consent-based and DPDP-aligned; warranty and scheme answers come only from approved circulars, with full audit — protecting Maruti from dealer-level misstatements.”
“Price it on service-retention lift in paid-service years and lead-conversion delta — both measurable per dealer cohort against controls within two quarters.”
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.
India's largest carmaker (~40% PV share, ~2M vehicles/year) whose real moat is network scale — 4,000+ sales outlets and 5,000+ service touchpoints generating India's largest automotive appointment, lead, and dealer-support conversation volume.
Pilot service-appointment and lead-follow-up workflows across 50 dealers in two states, with retention and conversion baselines against matched control dealers.
Entry: Service-appointment booking & reminders across the dealer network · 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.