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OpenAI ChatGPT Business Powers Plex Coffee Operations and Staff Training

Plex Coffee uses OpenAI ChatGPT Business to centralize knowledge sharing, reduce training time from weeks to days, and maintain customer service quality across four locations.

LLMBase Editorial Updated October 15, 2025 3 min read
ai llm industry chatgpt business

The café chain faced two core problems as it grew: fragmented knowledge sharing through WhatsApp groups and inconsistent training for new hires. Traditional solutions like static handbooks failed to engage staff effectively, creating bottlenecks for store managers and reducing focus time for customer engagement.

Knowledge Centralization Through Notion Integration

Plex Coffee addressed its information retrieval challenges by connecting ChatGPT Business to its Notion knowledge base. The integration allows staff to query company information using natural language rather than keyword searches, which co-founder Cheng noted were ineffective since "everyone uses different words to describe what they're looking for."

The implementation reduced WhatsApp messages on operational questions by over 50%, according to Cheng. Staff access the system through in-store iPads, freeing store managers to focus on community engagement and events rather than answering routine operational questions.

For European businesses managing multilingual teams, this approach offers particular value. Natural language queries work across different linguistic patterns, reducing the friction that often occurs when non-native speakers search structured documentation systems.

Staff Training Transformation

The company converted its 25-page employee handbook into a custom GPT for onboarding new hires. Rather than distributing static documentation, new employees interact conversationally with the training system, which covers both technical procedures and company culture.

Cheng reports that onboarding time decreased "from weeks to days" using this approach. The conversational format helps knowledge retention compared to traditional documentation, while reducing the coaching burden on store managers for each new hire.

This training model addresses a common challenge for European SMEs: maintaining service quality and cultural consistency while scaling operations across multiple locations with part-time staff.

Operational Applications Beyond Training

Plex Coffee expanded its ChatGPT Business usage into broader operational areas:

  • Location research: Evaluating revenue potential and customer volume projections for new café locations
  • Demand analysis: Understanding sales fluctuations by analyzing local events, student populations, and seasonal factors
  • Supply chain automation: Experimenting with automated vendor ordering through different supplier portals

The supply chain application illustrates how AI can streamline administrative tasks that typically require manual navigation of multiple vendor systems—a common pain point for multi-location retail operations.

Implementation Considerations for European Businesses

Plex Coffee's deployment highlights several factors relevant to European enterprises considering similar implementations. The company leveraged existing staff familiarity with ChatGPT rather than introducing entirely new systems. Custom GPT creation allowed targeted solutions for specific use cases without extensive technical development.

For businesses operating under European data protection regulations, the Notion integration approach provides a controlled environment for organizational knowledge while maintaining oversight of information access patterns.

The case also demonstrates how AI implementation can support rather than replace human-centered service models—a consideration particularly relevant for hospitality and retail sectors where personal connection drives customer loyalty.

OpenAI ChatGPT Business continues to expand its enterprise customer base through targeted industry applications that address specific operational challenges rather than broad productivity claims.

Original source: OpenAI published this case study at https://openai.com/index/plex-coffee.

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