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Automotive Track · Invitation-Only Strategic Co-Build

Turn Your Automotive Experience
Into Industry-Wide Standards

Sales scripts, after-sales processes, technical knowledge bases, customer operations accumulated over more than a decade... Previously, these were just your internal assets. Now, they can become "automotive AI standards" that the entire industry pays to use. KHB provides computing power, technology, and teams; you provide knowledge, data, and channels. Strategic joint venture to build the AI infrastructure for the automotive industry.

3T+
China Automotive Aftermarket Size (2026)
80%
Dealers Lack AI Capabilities
1 Spot
Only 1 Spot Left in Track

Five Core Challenges in the Automotive Industry

The automotive industry is in a critical period of electrification and intelligent transformation. Top dealers hold valuable experience, yet face deep challenges of heavy talent dependency, low service efficiency, and difficulty in knowledge accumulation.

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Long Training Cycle for Top Sales Consultants, High Turnover Rate

A mature automotive sales consultant requires at least 1-2 years of training, relying on personal experience and client resources. When top salespeople leave, client resources and sales capabilities follow. Dealers constantly face the risk of talent gaps.

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Slow After-Sales Response, Low Customer Satisfaction

Long maintenance wait times, opaque service processes, and low problem resolution efficiency lead to declining customer satisfaction. Relying on manual scheduling and experience-based judgment makes it difficult to handle increasingly complex vehicle models and maintenance demands.

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Scattered Technical Documentation and Maintenance Experience, Low Efficiency

New vehicle models iterate rapidly, technical materials update frequently, and maintenance expertise lives in the minds of senior technicians. New hires take a long time to get up to speed, and when senior technicians leave, experience is lost — technical knowledge cannot be institutionalized or assetized.

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Customer Operations Rely on Manual Work, Insufficient Personalization

Customer lifecycle is long — from purchase, maintenance to trade-in, the entire journey depends on manual follow-up. Services are one-size-fits-all, lacking precise personalization, resulting in high customer churn and unsatisfactory repurchase and referral rates.

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Small and Mid-Sized Dealers Have Weak Digital Capabilities

Numerous small and mid-sized dealers lack the technical capability and capital investment for digital transformation. Dispersed systems and data silos prevent the formation of effective data assets and intelligent decision-making, causing them to gradually fall behind in competition.

Core Paradox: Top automotive dealers have experience, customers, and scenarios, but lack AI technical capabilities and computing infrastructure; AI companies have technology and computing power, but lack deep automotive industry knowledge and implementation scenarios. Both sides operating independently causes automotive AI to remain at the "shallow application" level, unable to truly drive industry transformation.

Four Values, Redefining Industry Influence

Co-building automotive AI infrastructure with KHB is not just a technology upgrade — it's a strategic positioning move. You will evolve from an "automotive dealer" to an "industry rule-maker."

01

Define Industry Standards — From Dealer to Rule-Maker

Jointly publish the "Automotive AI Service Standard", and lead the establishment of an automotive AI alliance. Your experience becomes the industry standard; your SOP becomes the reference framework for the entire industry. While other dealers are still stuck in "service involution," you're already defining what "standard service" means. This is not a simple technology upgrade — it's a strategic positioning of industry influence. Once standards are established, automotive dealers across the industry will follow the rules you define, and your enterprise will become the recognized benchmark and leader.

02

Knowledge Asset Monetization — Sales Scripts, After-Sales Processes, and Maintenance Knowledge Base Become Licensable Industry Knowledge

The sales scripts, after-sales processes, maintenance techniques, and customer operation methods you've accumulated over more than a decade... These were previously just "internal assets." Now they can become licensable, chargeable, and replicable industry knowledge bases. Small and mid-sized dealers across the industry will pay for your knowledge. Your experience no longer walks out the door when employees leave, but instead generates continuous "passive income." Imagine: tens of thousands of automotive dealers nationwide, each using your defined sales standards and service processes, with every invocation generating revenue for you.

03

Capability Leap — 50% Higher Sales Efficiency, 3x Faster After-Sales Response, Significantly Improved Customer Satisfaction

No need to build your own AI team, no need to invest tens of millions in hardware — instantly access the industry's most advanced AI capabilities. Sales consultant training cycle shrinks from 1-2 years to 1-2 months, after-sales response efficiency improves by more than 3x, and customer satisfaction rises significantly. Your enterprise will be the first to complete AI upgrade, with greatly reduced operating costs and significantly improved service quality, widening the gap with competitors. More importantly, you gain the "industry standard-setting power" that others don't have — a deeper moat than technology itself.

04

Equity Appreciation Returns — Automotive AI Platform Valuation Ceiling Is Far Higher Than a Single Dealer

The joint venture company is not a simple collaboration project — it's an independent industrial AI platform. As industry penetration increases, the joint venture's valuation will continue to grow. You not only receive annual dividends but also enjoy capital returns from equity appreciation. Referencing the valuation logic of vertical industry AI platforms in legal, healthcare, and other fields, an automotive AI platform that holds the industry standard-setting power has a valuation ceiling far higher than a single automotive dealer. This is an identity leap from "automotive operator" to "industrial platform shareholder."

What We Build Together

It's not simply "deploying an AI system" — it's a complete industrial AI infrastructure from knowledge base and standards to services. Each component has clear deliverables and value.

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Automotive Knowledge Base

  • Automotive Sales Script Library
  • After-Sales Customer Service Knowledge Base
  • Maintenance Technical Knowledge Base
  • Customer Profile Models
  • Parts Management Knowledge Base
  • Test Drive SOP Library
  • Customer Lifecycle Operations Library
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Industry Standards

  • "Automotive AI Service Standard"
  • Automotive AI Capability Evaluation Standards
  • Automotive Data Security Guidelines
  • Automotive AI Ethics Code
  • Dealer AI Application Specifications
  • Industry White Paper Publication
  • Industry Alliance Formation
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Industrial Services

  • Intelligent Sales SaaS
  • After-Sales AI System
  • Knowledge Base Licensing
  • Automotive AI Certification
  • Dealer AI Capability Assessment
  • Managed Operations
  • Custom Solutions
What makes the co-build model unique: The leading enterprise is not a "client" — they are "co-founders." Every script, every case, every maintenance tip you contribute becomes a core asset of the joint venture company, generating continuous returns. This is not a procurement project, not outsourced development — it's a strategic-level partnership between two industry players, jointly building an AI infrastructure platform for the entire industry.

Automotive AI Is a Trillion-Dollar Blue Ocean

China's automotive aftermarket continues to grow rapidly, yet AI penetration is less than 3%. The first player to establish industry standards will reap the greatest market dividends.

3T+
China Automotive Aftermarket
Size (2026)
30K+
Automotive Dealers
Nationwide
<3%
Automotive Industry AI
Penetration Rate
58%/yr
Automotive AI Market
CAGR
How big is the first-mover advantage? In any industry, the first player to set AI standards typically captures over 60% of market share. This isn't the difference between "doing it early or late" — it's the difference between "those who make the standards" and "those who use them." When the entire industry uses the standards you define, you become the rule-maker of this industrial AI era, and all latecomers must follow your path. The automotive industry is currently in the "window period" for AI standardization. Whoever acts first occupies the most advantageous position.

Three Tiers, Choose One

Automotive dealers at different development stages have different collaboration needs. We offer three tiers of collaboration depth, and we recommend starting with the medium tier and gradually upgrading to deep collaboration.

Light Collaboration
Standard Co-Build · Ideal for Testing Waters
KHB Investment
  • AI Tech Stack Support
  • Partial Computing Resources
  • Standard Drafting Guidance
Dealer Investment
  • Knowledge Authorization License
  • Expert Annotation Support
  • Scenario Validation Environment
Deliverables
  • Automotive AI Standard White Paper
  • Industry Joint Authorship
  • Standard Publication Rights
Deep Collaboration
Joint Venture Co-Build · Strategic Level
KHB Investment
  • Full Computing Infrastructure
  • AI Technology + Full Team
  • Equity Participation (35%)
  • Joint Operations Management
Dealer Investment
  • Knowledge + Channels + Customers
  • Co-Build Fund + Equity
  • Industry Resource Integration
Deliverables
  • Industrial AI Joint Venture
  • Industry-Wide Service Output
  • Dividends + Appreciation by Equity
  • Industry Standard-Setting Power

Six Steps to Start Co-Building

From intent submission to co-build launch, the average cycle is 60-90 days. Each step has clear deliverables and milestones — trackable and quantifiable.

01

Intent Submission

Fill out the automotive track exclusive application form, submitting basic information such as dealer qualifications, business scale, and knowledge base status. The KHB Strategic Partnership Team will feedback preliminary review results within 5 business days.

02

Qualification Pre-Review

Evaluate core indicators such as the dealer's industry position (whether top-tier), knowledge assets (whether sufficiently accumulated), collaboration willingness (whether committed to deep partnership), and decision-making efficiency (ability to move quickly).

03

Strategic Talks

Senior executives from both sides engage in in-depth dialogue to clarify core topics such as co-build direction, collaboration tier, equity framework, and investment division of labor. This is a critical step in reaching strategic consensus, typically requiring 1-2 rounds of in-depth exchanges.

04

Joint Project Initiation

Establish a joint preparation team — KHB sends technical leads, and the automotive dealer sends business leads — to jointly complete core documents including project proposal, business plan, knowledge base inventory, and implementation roadmap.

05

Joint Venture Signing

Officially sign legal documents including joint venture agreement, knowledge authorization agreement, standard co-build agreement, and confidentiality agreement. Clarify key terms such as equity ratio, investment valuation, revenue distribution, and governance structure.

06

Launch Co-Build

The joint venture is formally established, launching computing deployment, knowledge organization, model training, and standard drafting. Typically, the first-phase knowledge base goes live within 30 days after signing, and the industry standard white paper is published within 6 months.

Co-Build with KHB
Automotive Industry AI Infrastructure

Only 1-2 leading enterprises per track for co-build, only 1 spot left in the automotive track.
First-come, first-served — seize the window for automotive AI standard-setting.

Hotline: 4006801888 · WeChat/QQ: 722496 / 489562