可计算开店科技获评杭州“人工智能+”重点培育项目15强

Kekesuan Kaidian Keji (Calculable Store Opening Technology) has been selected as one of Hangzhou's top 15 key AI cultivation projects, ranking alongside industry leaders like Alibaba DAMO Academy.

1. The project's core is LOCXX.AI, an AI-driven infrastructure for experiential traffic and programmatic transactions. It focuses on deeply empowering offline consumption with AI, building a digital-intelligent infrastructure centered around Location Union ID.

2. It pioneered the UCR technical route, filling the gap in accurate pre-opening customer flow prediction. By integrating network planning and operational data, it provides brands with end-to-end services from site selection to growth operations.

3. It has already supplied professional model products for major brands with thousands of stores, aiding their data-driven network planning and AI-powered opening decisions, enabling full lifecycle offline growth and increasing client trust.

4. Leveraging Hangzhou's AI innovation ecosystem, the company will continue to upgrade its R&D to help more brands achieve calculable, high-growth offline operations.

This project is a core achievement of Hangzhou's strategy to become China's leading city for AI innovation and development.

1. After nearly 100 project applications and a top-30 roadshow, 15 top-tier results were selected, establishing the company's leading position in using AI to activate new momentum in offline consumption.

2. Case studies show the technology has received authoritative certifications, such as 'China's Outstanding Industrial AI Service Provider,' highlighting its unique value in empowering the real economy.

AI Technology Empowers Brand Offline Marketing and Channel Development.

1. It provides end-to-end services from site selection decisions to growth operations, helping brands optimize network planning and store expansion to enhance channel efficiency and consumer behavior insights.

2. The pioneering UCR technical route enables accurate customer flow prediction, aligning with consumption upgrade trends to activate offline traffic and support brand pricing and competitive strategies.

3. It has already provided data-driven model products for major multi-store brands; cases demonstrate the ability to achieve full lifecycle growth and enhance brand trust.

The project aligns with current consumption trends and product R&D needs.

1. Its focus on AI deeply empowering offline consumption reveals opportunities from shifting user behavior, such as using客流 data to optimize product design.

2. The representative company, Calculable Store Opening Technology, demonstrates how AI integrates network planning and operations, inspiring brands to develop new service models.

3. Hangzhou's policy support for innovation allows brands to leverage AI technology to adapt to changing consumer demands and improve marketing precision.

Hangzhou's AI Policies Create Market Growth Opportunities.

1. Policy Interpretation: Hangzhou's push to be China's top AI innovation city supports key cultivation projects, offering cooperation and support opportunities.

2. Growth Market: AI's empowerment of offline consumption reveals shifting consumer demands; features like customer flow prediction help sellers optimize location selection and operational decisions.

3. Opportunity Alert: Calculable Store Opening Technology offers end-to-end services; sellers can learn from its business model for event response and risk mitigation.

The project provides practical response measures and cooperation methods.

1. Positive Impact: AI technology activates new offline momentum, helping sellers improve growth efficiency; cases show empowerment for major multi-store brands.

2. Latest Business Model: The end-to-end service from site selection to growth allows sellers to cooperate and access professional model products.

3. Risk Note: Technical implementation feasibility should be assessed, but the project's national-level certification lowers risk, encouraging sellers to advance digitalization.

AI Technology Inspires Factories to Advance Digitalization and E-commerce.

1. Product Production Needs: The project's AI-driven digital infrastructure inspires factories to apply data-driven optimization in design and production.

2. Business Opportunity: AI's empowerment of physical consumption allows factories to explore similar technologies for supply chain efficiency, e.g., using customer flow prediction for inventory management.

3. Advancing Digitalization: Case studies show the technology's authoritative certification; factories can learn from its end-to-end service model to integrate production and sales data.

The project offers insights for e-commerce and design.

1. The representative company, Calculable Store Opening Technology, demonstrates how AI activates offline growth, inspiring factories to develop new product lines.

2. Hangzhou's innovation-supportive policies provide business opportunities, like co-developing digital solutions.

3. Insight: The UCR technical route's breakthrough can be applied to product lifecycle management to enhance calculability.

Industry Trends Point Towards AI Digital-Intelligent Development, Revealing New Technologies and Solutions.

1. Industry Trend: Hangzhou's push for AI+consumption innovation allows service providers to follow the wave of offline commercial digitalization.

2. New Technology: The pioneering UCR technical route fills the customer flow prediction gap, providing accurate data models.

3. Client Pain Point: The need to revitalize offline traffic is addressed by the end-to-end solution from site selection to growth operations.

The project provides specific cases and development directions.

1. The representative company, Calculable Store Opening Technology, already supplies professional models to brands, solving network planning and expansion pain points.

2. Development Trend: Leveraging Hangzhou's ecosystem, service providers can develop new technologies to address consumption upgrades.

3. Insight: The technology's national-level certification offers a model for service providers to learn from its commercial closed-loop capability and optimize their own solutions.

AI Infrastructure Meets Platform Needs and Operational Management.

1. Business Need: Offline platforms require accurate customer flow prediction and decision support; the project provides AI-driven services.

2. Platform's Latest Practice: The end-to-end service model of Calculable Store Opening Technology can be integrated by platforms for merchant recruitment and operational optimization.

3. Platform Merchant Recruitment: Hangzhou's policy supports key cultivation projects; platform operators can cooperate or recruit these projects, leveraging government backing.

The project offers risk mitigation and growth opportunities.

1. Operational Management: AI enables full lifecycle growth, helping platforms mitigate risks through data-driven decisions that improve efficiency.

2. Opportunity Alert: Cases show the technology activates new consumption momentum; platforms can learn from its model to drive their own digitalization.

3. The representative company demonstrates strong capabilities; platform operators can leverage its authoritative certification to enhance management prowess.

New Industry Dynamics Focus on AI Empowering Consumption and Business Models.

1. New Dynamic: Hangzhou's promotion of AI+consumption innovation projects signifies an industry shift towards digital-intelligent transformation.

2. Business Model: The end-to-end service, from site selection to growth operations, activates new momentum in offline commerce.

3. Policy/Legal Implication: Government strategic support for AI development invites research into regulatory suggestions, such as data element application.

The project reveals new questions and representative cases.

1. New Question: How to break the pre-opening customer flow prediction gap inspires research into technical bottlenecks.

2. The representative company, Calculable Store Opening Technology, has national certification; its case demonstrates AI's value in empowering the real economy.

3. Policy Implication: Hangzhou's selection of top成果 offers a case for researchers to analyze contributions to the innovation ecosystem and drive business model optimization.