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SAP AI: Overhyped and Overpriced? User Dissatisfaction Deep Dive

SAP users are expressing growing dissatisfaction with the company's artificial intelligence (AI) tools. According to a Bloomberg report, many SAP users are questioning the value-for-money of these tools, voicing skepticism about their actual utility. This is leading to criticism of SAP's AI strategy and pricing policies, with users seeking better alternatives.

  • Economic Concerns: The high cost of SAP AI tools places a significant burden on users. Small and medium-sized enterprises (SMEs) in particular struggle to see a return on their investment.
  • Doubts About Practical Utility: Many features are perceived as simply being labeled 'AI' without actually improving work efficiency. Users are questioning the actual performance and applicability of these AI tools.
  • Criticism of SAP's AI Strategy: Users criticize SAP for merely adding AI technology to existing products. There is a perception that SAP is focusing on generating additional revenue from existing customers rather than developing innovative AI solutions.
  • Dissatisfaction with Pricing Policies: SAP's complex licensing policies and high maintenance costs are exacerbating user dissatisfaction. There are also criticisms that the pricing of AI tools is not based on reasonable grounds.

🔍 Deep Dive

User dissatisfaction with SAP AI tools goes beyond just pricing issues. It raises concerns about SAP's overall AI strategy and market competitiveness. SAP aims to enhance the value of its core products like S/4HANA using AI technology, but users demand tangible innovation and cost-effectiveness. To gain an edge over competitors like Oracle and Microsoft, SAP must prove the actual utility of its AI technology and establish user-centric pricing policies.

수익화 아이디어

  1. SAP AI Utility Verification Consulting: Provide consulting services to companies considering adopting SAP AI tools, verifying their effectiveness based on actual data. Offer pre-implementation simulations to predict ROI and suggest optimal adoption strategies.
  2. SAP AI Alternative Solution Development: Develop AI solutions that complement the shortcomings of SAP AI tools and are specialized for specific tasks. For example, develop AI models specialized in areas such as financial analysis or supply chain management and offer them to SAP users at reasonable prices.
  3. SAP AI Training Platform: Develop and offer training programs on how to use SAP AI tools. Users can learn the functions and applications of AI tools through training and improve efficiency by applying them to their actual work.
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