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🍽️ Restaurant Track · Invitation-Only Strategic Co-Building

Turn Your Restaurant Experience
Into Industry-Wide Standards

Recipes, operations SOPs, supply chain management, service standards... accumulated over more than a decade. They used to be just your internal assets. Now, they can become "Restaurant AI Standards" that the entire industry pays to use. KHB provides computing power, technology, and teams. You provide knowledge, supply chain, and store scenarios. Strategic joint venture to build the AI infrastructure for the restaurant industry.

6T+
China Restaurant Market Size 2026 (RMB)
90%
Restaurants Lack Standardization Capability
1 Spot
Only 1 Spot Left in This Track

Five Core Dilemmas of the Restaurant Industry

The restaurant industry is at the intersection of large-scale expansion and digital transformation. Leading brands hold valuable experience, yet face deep challenges of heavy talent dependency, low standardization, and high supply chain waste.

👨‍🍳

Scarce Top Store Managers and Chefs, Long Training Cycles and High Turnover

A mature store manager or head chef typically requires 3-5 years of training, relying on personal experience and talent. When key personnel leave, store operations quality and output consistency decline, leaving brands constantly at risk of talent gaps.

📋

Store Operations Rely on Personal Experience, Low Standardization Makes Quality Control Difficult

Service quality, output standards, and operational efficiency vary wildly across stores, depending on individual store manager capabilities. Headquarters struggles with unified control, quality control issues arise frequently, customer experiences are inconsistent, and brand reputation faces high risk.

📦

Rough Supply Chain Management, Persistently High Waste

Ingredient procurement, inventory management, and waste control rely on manual experience. Inaccurate forecasting leads to overstock or stockouts. Supply chain waste rates commonly range from 5-10%, severely eroding profits. Large-scale expansion only amplifies management challenges.

🧠

Quality Operations Experience Locked in Core Teams, Impossible to Replicate and Scale

Leading brands have accumulated decades of operational techniques, recipes, and service standards, but they're all scattered in the minds of key employees. When employees leave, the experience resets to zero. Knowledge assets cannot be institutionalized or scaled.

📉

Small and Mid-Sized Restaurants Have Weak Digital Capabilities, Competition Intensifies

AI penetration across the entire restaurant industry is less than 3%. The vast majority of small and mid-sized restaurants lack digital capabilities. Leading brands have scenarios and data, but lack AI technical capabilities, unable to transform experience into sustainable competitive advantage.

Core Contradiction: Leading restaurant enterprises have experience, stores, and scenarios, but lack AI technical capabilities and computing infrastructure; AI companies have technology and computing power, but lack deep restaurant industry knowledge and implementation scenarios. Both sides operate independently, causing restaurant AI to remain stuck at the "shallow application" level, unable to truly drive industry transformation.

Four Values, Redefining Industry Influence

Co-building restaurant AI infrastructure with KHB is not just a technology upgrade — it's a strategic positioning play. You'll upgrade from "industry participant" to "industry rule-maker."

01

Define Industry Standards — From "Restaurant Enterprise" to "Rule-Maker"

Jointly release the "Restaurant AI Operations Service Specification", and lead the establishment of a Restaurant AI Alliance. Your experience becomes the industry standard; your SOPs become the reference framework for the entire industry. While other restaurants are still "involuted in standardization," you're already defining what "standard" means. This isn't a simple technology upgrade — it's strategic positioning of industry discourse power. Once standards are established, all restaurant enterprises in the industry will follow the rules you define, and your brand will become the industry-recognized benchmark and leader.

02

Knowledge Asset Monetization — Turn Experience into "Passive Income"

The recipes, operations SOPs, supply chain management experience, and service standards you've accumulated over more than a decade... These used to be just "internal assets." Now they can become an industry knowledge base that's licensable, chargeable, and replicable. Small and mid-sized restaurants across the entire industry will pay for your knowledge. Your experience no longer drains with employee turnover, but instead continuously generates "passive income." Imagine: millions of restaurant stores nationwide using the operational standards and service norms you've defined, with every call generating revenue for you.

03

Self-Capability Leap — Cost Reduction, Efficiency Gains, Strengthened Moat

No need to build your own AI team, no need to invest tens of millions in hardware — directly obtain the industry's top-tier AI capabilities. Store operations efficiency up 50%, supply chain waste reduced by 30%, achieving personalized precision marketing and 7×24 full coverage quality control. Your brand will be the first to complete AI upgrade, with significantly reduced operating costs and notably improved service quality, widening the gap with competitors. More importantly, you gain "industry standard-setting power" that no one else has — a deeper moat than technology itself.

04

Equity Appreciation Returns — Share Industry Dividends

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

What We Build Together

Not simply "deploying an AI system," but a complete industrial AI infrastructure from knowledge base to standards to services. Every piece has clear deliverables and value.

📚

Restaurant Knowledge Base

  • Store Operations SOP Library
  • Recipe Database
  • Supply Chain Management Knowledge Base
  • Customer Service Script Library
  • Marketing Activity Strategy Library
  • Location Assessment Model Library
  • Food Safety Compliance Library
📜

Industry Standards

  • Restaurant AI Operations Service Specification
  • Restaurant AI Capability Assessment Standards
  • Restaurant Data Security Guidelines
  • Restaurant AI Ethics Code
  • Store AI Application Specifications
  • Industry White Paper Publication
  • Industry Alliance Formation
🚀

Industry Services

  • Intelligent Operations SaaS
  • Supply Chain AI System
  • Knowledge Base Licensing
  • Restaurant AI Certification
  • Store AI Capability Assessment
  • Managed Operations
  • Customized Solutions
What makes the co-build model unique: The leading enterprise is not a "client" but a "co-founder." Every recipe you contribute, every operations SOP, every supply chain optimization plan becomes a core asset of the joint venture company, continuously generating revenue. This is not a procurement project, not outsourced development — it's strategic-level alignment between two industry players, jointly building an AI infrastructure platform serving the entire industry.

Restaurant AI is a Trillion-Dollar Blue Ocean

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

¥6T
Total China Restaurant
Market Size 2026
8M+
National Restaurant
Store Count
<3%
Restaurant Industry AI
Penetration Rate
55%/yr
Restaurant 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 about "doing it earlier or later" — it's about being the person who makes the standards versus the person who uses 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 restaurant industry is currently in a "window period" for AI standardization. Whoever acts first occupies the most advantageous position.

Three Tiers, Choose Your Path

Restaurant enterprises at different development stages have different collaboration needs. We offer three tiers of collaboration depth, and recommend starting with the Medium tier and gradually upgrading to Deep collaboration.

Light Collaboration
Standard Co-Build · First Step
KHB Investment
  • AI tech stack support
  • Partial computing resources
  • Standards drafting guidance
Your Investment
  • Knowledge licensing
  • Expert annotation support
  • Scenario validation environment
Deliverables
  • Restaurant AI Standards White Paper
  • Joint industry authorship
  • Standard publication rights
Deep Collaboration
Joint Venture · Strategic Level
KHB Investment
  • Full computing infrastructure
  • AI technology + full team
  • Equity participation (35%)
  • Joint operations management
Your Investment
  • Knowledge + supply chain + stores
  • Co-build fund + equity
  • Industry resource integration
Deliverables
  • Industrial AI joint venture company
  • Full-industry service output
  • Dividends + equity appreciation
  • Industry standard-setting power

Six Steps to Start Co-Building

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

01

Intent Submission

Fill out the exclusive restaurant track application form, submitting basic information such as enterprise qualifications, store scale, and current knowledge base status. The KHB Strategic Partnership Team will feedback pre-screening results within 5 business days.

02

Qualification Pre-Screening

Evaluate core indicators including enterprise industry standing (whether a leader), knowledge assets (whether sufficiently accumulated), collaboration willingness (whether determined for deep cooperation), and decision-making efficiency (ability to move quickly).

03

Strategic Talks

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

04

Joint Project Initiation

Form a joint preparation team. KHB sends a technical lead, and the restaurant enterprise sends a business lead, jointly completing core documents including the project proposal, business plan, knowledge base inventory list, and implementation roadmap.

05

Joint Venture Signing

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

06

Launch Co-Building

The joint venture entity is officially established, commencing work on computing deployment, knowledge sorting, model training, and standards drafting. Typically, the first phase knowledge base goes live within 30 days after signing, and the industry standards white paper is published within 6 months.

Co-Build with KHB
Restaurant Industry AI Infrastructure

Each track partners with only 1-2 leading enterprises. Only 1 spot remains in the restaurant track.
First come, first served — seize the window for restaurant AI standard-setting.

Hotline: 4006801888 · WeChat/QQ: 722496 / 489562