AI Autoparts — the multi-agent AI platform for auto parts on WhatsApp
See AutoParts AI close a WhatsApp sale in under 2 minutes
From VIN to confirmed appointment, fully automated inside the customer's WhatsApp. Real conversation, real OEM catalog, real ERP.
AutoParts AI Agent — WhatsApp sale from VIN to appointment in 1:58 min
Video disponible próximamente en YouTube
AutoParts AI Agent — WhatsApp sale from VIN to appointment in 1:58 min
Real demo of the WhatsApp AI agent decoding a VIN, finding the OEM part in the EPC catalog, quoting from the ERP and booking the service appointment — without a human in the loop.
Real demo: a customer messages the dealership on WhatsApp on a Saturday night asking for parts for their vehicle.
The AutoParts AI agent greets them, asks for the 17-character VIN and, as soon as the customer sends it, decodes the 6 characters of the Vehicle Descriptor Section to identify plant, engine, transmission, year and trim.
With that data, it queries the manufacturer's official electronic parts catalog (EPC), applies SSPL supersessions and validates fitment against the dealership's ERP.
It returns the exact OEM part number, exploded-view photo, warehouse availability and final price, all inside the same WhatsApp conversation.
The customer confirms, the agent reserves the part, books the service appointment and only escalates to a human advisor if needed.
Total time from VIN to confirmed appointment: under two minutes. Zero returns for wrong parts, zero lost sales after hours.
AI for auto parts — built for dealerships and aftermarket distributors
AutoParts AI Agent is the AI for auto parts that dealerships and aftermarket distributors run in production today. It is not a prototype: the multi-agent orchestrator, the OEM integrations and the ERP connectors are live, monitored 24/7 and shipped under versioned releases. The AI autoparts agent talks to buyers across WhatsApp, web chat, email and social channels, decodes the 17-character VIN against official OEM catalogs and returns the correct part with real-time price and availability pulled from your ERP.
The core of the AI auto parts platform combines VIN/VDS decoding, EPC catalog lookup against official manufacturer databases (Toyota, Lexus, Nissan, Honda, Suzuki, Yamaha, Bajaj and Jaguar Land Rover), SSPL supersession validation and native API integration with SAP, Oracle, Microsoft Dynamics and any automotive DMS. The result, measured in production: zero returns from misdecoded VINs, quotes issued in under two minutes and a parts counter that runs 24/7 without hiring extra staff.
For aftermarket distributors, the AI autoparts agent automates the full RFQ-to-quote workflow already running in customer environments: it captures the request, validates fitment against the OEM, suggests OEM and aftermarket equivalents, applies channel-based pricing rules and issues a formal quote with confirmed stock. Every conversation is logged as structured data, mapping the real unmet demand — the aftermarket gold your ERP never records — so your purchasing team can buy what customers actually ask for.
Selling auto parts with AI is not the same as bolting a chatbot onto a website. A real AI in auto parts selling stack has to do four things in sequence, in under two minutes, without a human: decode the 17-character VIN against the official OEM catalog (not a scraped database), validate SSPL supersessions so the part number quoted is the current revision, query the dealership's live ERP for stock and price (not yesterday's CSV), and issue a quote that the customer can pay or reserve in the same chat. Each of those four steps is where most AI car parts projects fail — and where AutoParts AI Agent is already running in production with measured impact.
AI car parts vs. traditional EPC software: an EPC like Toyota EPC, Nissan FAST, Honda EPC, PartsLink24 or Snap-on EPC is a lookup tool built for a trained advisor sitting in front of a desktop. It is the source of truth for the part number, but it does not talk to the customer, does not know your stock, does not work on WhatsApp and does not run at 3 AM. The AI in auto parts selling layer sits in front of the EPC: it captures the VIN from a WhatsApp message or a photo of the windshield plate, runs the same official EPC lookup the advisor would run, cross-references SSPL, hits the ERP for live stock and price, and answers the customer in the channel they already use. The EPC stays. The advisor's time gets redirected to complex negotiations and high-margin sales. The 24/7 long tail of RFQs that used to go unanswered turns into measurable revenue.
AI autoparts in production is not an experiment — it is infrastructure. The difference between an AI for auto parts project that dies in pilot and one that scales to the whole dealer group comes down to four concrete technical decisions made before the first real conversation. First, we connect to the manufacturer's official EPC with authorized-dealer credentials — never to a scraped database or a purchased dataset. Second, every VIN is validated against the ISO 3779 check-digit formula before consuming OEM catalog quota; a mistyped VIN is rejected in milliseconds, not after 1,500 ms and a charge against your quota. Third, every quote cross-references the part number against the manufacturer's SSPL supersession table; when a part is superseded by a newer revision, we automatically return the current part number. Fourth, the AI autoparts agent never invents: if the ERP has no stock or the OEM doesn't return a part, the agent says so and offers an alternative or an appointment — it does not improvise a number that later becomes a return.
The AI for auto parts stack running today in LatAm and US dealerships and distributors is built on five integrated layers: (1) a multi-agent orchestrator that profiles the customer and routes the conversation; (2) three specialist agents — Parts, Showroom, Maintenance — each with its own rigorous flow; (3) an OEM connector layer (Toyota TIS, Nissan FAST, Honda iN, Suzuki, JLR Topix, Yamaha, Bajaj) that returns part numbers, SSPL supersessions and exploded diagrams; (4) an ERP/CRM/DMS integration layer with production connectors for SAP, Oracle, Salesforce, HubSpot, Dynamics and local systems; and (5) a Unified Inbox that orchestrates WhatsApp Business API, Messenger, Instagram, web and SMS under a single console for human advisors. That architecture is what makes selling auto parts with AI possible at 3 AM, in Spanish or English, with no advisor present — and what lets the team open the ERP on Monday morning and see issued quotes, confirmed reservations and qualified leads already loaded.
The benchmark against common market alternatives is direct. A traditional chatbot (Botpress, plain Dialogflow, Twilio scripts) answers FAQs but does not decode VINs, does not query the EPC and does not talk to the ERP — it serves support, not parts sales. A standalone VIN decoder API (NHTSA vPIC, Carfax-likes) returns vehicle metadata but no OEM part numbers, no SSPL validation and poor coverage of LatAm-assembled VINs. A desktop EPC (PartsLink24, Snap-on) remains the technical source of truth, but it requires a trained advisor, only works during business hours and does not converse with the customer. AI for auto parts integrates the three worlds — VIN decoder, official EPC and ERP — under a 24/7 conversational orchestrator that sells where the customer already chats. That is why the ROI measured in the first 90 days comes from three simultaneous sources: returns reduction, after-hours revenue capture and freeing the human advisor's time for complex, high-margin negotiations.
Want the full playbook? Read our complete guide to AI in Auto Parts Selling — KPIs, 6-week pilot roadmap and real dealership cases. Selling vehicles too? See our AI sales agent for chasing incomplete KYC signups that recovers abandoned car-buyer signups on WhatsApp.
Not a proof of concept: this is infrastructure running today
AutoParts AI Agent runs in dealerships and distributors with real traffic, live API integrations to ERPs and official OEM catalogs, and enterprise SLA. Every component listed below is deployed, monitored and versioned.
The modern dealership loses sales at every operational friction point
Misidentified parts, leads not contacted in time, service appointments nobody books and real demand your ERP never sees. Every broken link costs margin.
When WhatsApp, Facebook and the web operate separately from your ERP and CRM, every hour you lose opportunities that don't come back.
A multi-agent orchestrator with official OEM knowledge
AutoParts AI Agent is a conversational intelligence layer that greets every customer, identifies their intent in milliseconds and routes the conversation to the right specialist agent: Parts, Showroom or Aftersales.
The Central Orchestrator profiles the customer and captures key data before handing off to the specialist agent:
With that structured information, each specialist agent executes its flow with technical rigor, connected in real time to your ERP, CRM and the manufacturer's official catalogs.
Three phases, one seamless experience
From first message to human handoff, the platform orchestrates every step so AI and your team work as a single unit.
Phase 1 — Reception and triage
The Main Orchestrator greets the customer from WhatsApp, Facebook or the web, profiles their intent and routes the conversation to the right specialist sub-agent in milliseconds.
Phase 2 — Specialist agent action
Parts, Showroom or Maintenance take control with their rigorous flow: VIN validation, OEM decoding, EPC search, SSPL validation, lead qualification or maintenance schedule.
Phase 3 — Transparent handoff to a human
If the customer requests it or a complex negotiation is detected, the conversation moves to the Unified Inbox with full context, decoded VIN and complete traceability.
Phase 4 — Injection into your systems
Quotes, appointments and qualified leads sync via API to your existing ERP, CRM and DMS — no migration, no changes to how your team works.
Production-ready technical capabilities
Official VIN/VDS decoding
Full VIN or Frame Code reading connected to the manufacturer's official OEM catalogs. No scraped databases, no generic data.
EPC catalog and exploded diagrams
Pulls the correct exploded diagram and shows the customer exactly the part they need before quoting.
SSPL replacement validation
Verifies whether a part number has been superseded by a newer version before confirming availability.
Multimodal conversation
The customer can describe the part with text, voice or image. The agent interprets and structures vehicle information automatically.
Predictive maintenance
Cross-references VIN and mileage with the manufacturer's official schedule to anticipate wear and book service before failure.
Real-time market intelligence
Captures 100% of conversations and maps real unmet demand — parts customers ask for that your ERP never records.
Reinforcing systems, not replacing them
We know that migrating DMS or ERP is the biggest fear of any dealership. That's why we operate as a Plug & Play upper intelligence layer that connects to what you already use and amplifies it.
Native API integration with the systems your dealership already runs:
We pull availability and pricing from your ERP in real time and, in return, inject qualified leads directly into your existing CRM. Zero technology friction, zero changes to how your team invoices or manages inventory.
Unified inbox — AI and humans in a single console
All conversations from WhatsApp, social media and the web widget land in a single inbox. The transition between AI and human advisor is instant and transparent to the end customer.
The human advisor sees in their side panel the exact traceability of everything the AI handled: decoded VIN, parts queried, quotes issued and lead qualification level.
Measurable impact across every pillar of the business
When the four critical dealership processes operate with a smart orchestrator connected to official OEM data, results show up in the first quarter.
Zero VIN-related returns
Rigor in VIN/VDS decoding and SSPL validation eliminates returns from incompatible parts.
Empowered counter
A junior advisor with the agent performs at senior expert level — without years of prior training.
Proactive aftersales
Predictive maintenance turns aftersales from reactive to proactive, ensuring a steady flow of booked appointments.
Qualified leads to the CRM
Your sales advisors receive only qualified prospects and pre-confirmed Test Drive appointments in their pipeline.
Hidden demand made visible
For the first time you see real unmet demand — parts requested without stock — to make smart purchasing decisions based on evidence.
24/7 service without hiring
The orchestrator operates after hours, on holidays and during demand peaks without overwhelming the human team.
Architecture built to scale with your group
Designed for multi-brand and multi-store dealerships. Today you run one location, tomorrow ten — without rewriting flows.
The same architecture that orchestrates a single store scales to a regional group with no structural changes.
The three specialist agents and their flows
Each agent has a rigorous, specific process for its pillar. They work in coordination under the same Orchestrator.
A. Parts Agent — Parts counter
Requests VIN or Frame Code, decodes it against the official OEM catalog, extracts the exploded diagram (EPC), identifies the part number (PNC/OEM) from the customer's natural description, validates SSPL to confirm the part hasn't been superseded, queries stock and pricing in your ERP, issues the final quote and handles payment or reservation.
B. Showroom Agent — Vehicle sales
Profiles preferences (SUV, sedan, budget, family or work use), presents the catalog of new units matching the profile, qualifies urgency and buying stage, books a Test Drive or showroom appointment and transfers the qualified lead directly to your existing CRM with full traceability.
C. Maintenance Agent — Aftersales and service
Captures VIN and current mileage, cross-references the data with the manufacturer's official maintenance schedule, proactively informs about imminent wear (timing belt, brakes, fluids), quotes the service package and books the slot directly in the workshop.
D. Market Intelligence — Management and purchasing
Captures 100% of conversations and maps real unmet demand. Reveals which parts are repeatedly requested without available stock, enabling purchasing decisions based on demand invisible to the traditional ERP.
Multi-brand coverage with official OEM data
We don't use generic, outdated or scraped third-party databases. We operate with direct manufacturer query services to guarantee current and legitimate information.
Is your dealership a good fit?
This platform is ideal if your operation matches any of these characteristics:
Benefits of AI in auto parts selling
AI in auto parts selling stops being a side experiment and becomes operational leverage when the agent's data is wired into live ERP stock, OEM fitment and CRM. These are the six benefits we measure in production with LatAm and US dealerships and distributors in the first 90 days:
VIN-related returns below 2%
Validating the VDS against the official OEM catalog and the SSPL supersession list before shipping cuts the typical 15–25% return rate to under 2% within the first quarter.
Quote turnaround under 2 minutes
RFQ-to-quote time drops from 4–24 hours with a call center to under 2 minutes on WhatsApp, with real ERP stock and pricing.
24/7 coverage without new hires
40–60% of inbound messages land after hours; the AI for selling auto parts handles and quotes them without overloading the human team.
18–25% upsell uplift
The agent suggests related consumables (rotors with pads, filters with oil) based on bundles configured by the distributor.
Hidden demand made visible
Every conversation is logged as structured data; the unmet demand your ERP never sees becomes visible and drives smarter purchasing.
Knowledge that doesn't quit
Technical expertise lives in the agent, not in the star advisor's head. Counter onboarding goes from months to days.
Implementation strategies for AI in auto parts selling
The gap between a pilot that ships and one that stalls is the sequence. This is the 6-week rollout we apply for every dealership and distributor:
- 1
Week 1–2 — OEM catalog connection
Activate the connector to the official EPC (Toyota, Lexus, Nissan, Honda, Suzuki, Yamaha, Bajaj, JLR) and validate VIN/VDS decoding against a historical sample of real orders.
- 2
Week 2–3 — ERP/DMS and CRM integration
Read live stock and pricing from SAP, Oracle or local systems; write qualified leads to Salesforce, HubSpot, Zoho or Dynamics.
- 3
Week 3–4 — WhatsApp Business API and templates
Approve official templates with Meta, configure the number, define hours and handoff to the Unified Inbox.
- 4
Week 4–5 — Training and pricing rules
Load channel-based discount rules, bundles, OEM/aftermarket equivalents and brand-specific conversational tone.
- 5
Week 5–6 — Controlled pilot
Production with a slice of traffic, live metrics (returns, time-to-quote, conversion) and daily tuning.
- 6
Week 6+ — Scale
100% of traffic, SLA alerts, weekly reporting and onboarding of the next dealership or location in the group.
Challenges in AI-driven auto parts adoption (and how we solve them)
The real blockers are not technical, they are organizational. These are the four that show up in every implementation and how we neutralize them:
Heterogeneous OEM catalogs
Every manufacturer exposes their EPC differently (REST APIs, SOAP, desktop-only EPC licenses). We solve it with brand-specific connectors and smart caching to lower per-lookup cost.
Dirty ERP data
Duplicated SKUs, inconsistent descriptions and stale stock destroy trust. We add a normalization layer before exposing data to the agent.
Counter team resistance
The agent is positioned as a copilot, not a replacement. Advisors receive pre-qualified leads, keep their commission and gain time to close.
Compliance and traceability
Every conversation is auditable, with signed logs and explicit opt-in via WhatsApp Business API per local regulations.
Live use cases of AI in auto parts selling
Three implementation patterns repeatedly producing measurable results in production:
Multi-brand OEM distributor — Mexico
3,500 orders/month across 4 brands. Returns dropped from 22% to 1.9% in 90 days, recovering ~USD 140,000/month in reverse logistics and restocking.
Official Toyota dealership — Colombia
Deployed the Parts Agent + Maintenance Agent. 47% of counter revenue now originates outside business hours, served by the agent.
Regional auto group — Central America
8 stores, 6 brands. Unified the WhatsApp inbox and doubled the test-drive show-up rate with smart CRM handoff.
Frequently asked questions about the platform
The most common questions from dealership managers, parts directors and aftersales heads.
Bring your dealership into the era of orchestrated AI agents
AutoParts AI Agent unifies Parts, Showroom and Aftersales with official OEM knowledge and native integration into your existing systems.
Without migrating your DMS, without changing your CRM, without retraining your team. Just an intelligence layer that amplifies what you already have.
Continue exploring the VIN + WhatsApp cluster
Free VIN Decoder vs commercial API
NHTSA vs OEM APIs: when free is enough and when you need a paid decoder.
Read moreVIN 6-character decoding explained
Why the 6-character VDS is the key to the right OEM catalog match.
Read moreDecode the VIN for parts
From the 17-character VIN to the exact OEM part, validated against EPC and SSPL.
Read more