In this article, we combine the latest international research with our past service experiences to present 27 scenarios for collaboration between businesses and AI. Our goal is to leverage AI transformation to achieve unprecedented success for our corporate clients.
“AI will not replace humans, but will augment our capabilities, enhancing the quality and productivity of our work through collaboration.”
– Karim Lakhani, Professor of Business Administration at the Harvard Business School
In this article, we combine the latest international research with our past service experiences to present 27 scenarios for collaboration between businesses and AI. Our goal is to leverage AI transformation to achieve unprecedented success for our corporate clients.
The Impact of AI on Businesses
Recently, there has been great anticipation worldwide regarding the potential applications of Generative AI. For example, it has demonstrated remarkable achievements in passing high-stakes exams such as the US bar exam and MBA exams, as well as assisting in job applications. In just a few months, it has garnered much attention, leading some to speculate that it will replace white-collar workers.
Karim Lakhani, a Harvard Business School professor involved in AI research, emphasizes that “ AI will not replace humans but instead enhance our capabilities. Through collaboration, it will augment the quality and productivity of our work. “
Telexpress, in the past few years, has introduced AI-powered customer service robots, which have successfully been implemented by over 100 flagship companies in the Asia-Pacific region. They have achieved significant milestones in industries such as home appliances, retail, and smart mobility, proving that AI robots can effectively improve case handling efficiency and address the issue of rising costs associated with human customer service.
We have also compiled a list of 27 potential application scenarios for AI within and outside of enterprises. Our goal is to explore the potential of AI together with our clients and embrace the next pinnacle of success with artificial intelligence.
How AI Helps Business to Improve Productivity and Efficiency?
Currently, AI applications for development can be categorized into two forms: internal collaboration within the enterprise and direct customer-facing applications. Internal collaboration can be further divided into four dimensions: sales and marketing, operations and customer service, IT and engineering, and internal process optimization.
(Please refer to the following table for detailed information. The content is summarized from McKinsey research report and incorporates our professional insights.)
– Sales and Marketing: AI can detect and analyze customer preferences and data, enabling precise marketing efforts. It can also provide operational strategy recommendations. Additionally, AI can generate training materials from customer interaction cases. According to Gartner statistics AI collaboration is projected to contribute to 30% of future push marketing content.
– Operations and Customer Service: AI can collect information and expanding knowledge bases to assists in the comprehensive writing and optimization of FAQs. AI also facilitates service content evaluation and quality control, significantly reducing the need for customer service manpower and operational time.
– IT and Engineering: AI assists engineers in code writing and generates training materials for AI knowledge bases. According to GitHub, automation in code writing can help developers increase their work efficiency by 50%.
– Internal Process Optimization: AI enables easy generation of visual performance charts, business presentations, customer service training materials, and meeting records, reducing administrative work time.
In conclusion, the implementation of AI can reduce the burden of current operations and unlock greater potential across various aspects.
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Sales Assistant Chatbot: Assisting customers in product selection, recommending suitable promotions, and facilitating the ordering process. |
| Code Writing: Accelerating program development, such as syntax conversion between different programming languages. | Internal Communication Optimization: Translation and tone optimization, automated email reply, simplified in one-click conversion. |
Marketing Material Generation: Writing promotion contents and creating stunning visuals for brands. | Debugging: Identifying product errors through advanced analysis techniques. | 📊Synthetic Data Generation: Enhancing the accuracy of language models through data training. | Generating Business Presentation: Visualizing textual content for effective communication. |
🛍️Market Trend Analysis and Recommendations | Streamlining Customer Service Processes: Leveraging data analysis and knowledge base for responses. | 💡Establishing Employee Training Guidelines: Personalizing Job Responsibilities, Performance Metrics, and More. | |
| Evaluating Customer Service Quality: Assisting managers in effectively monitor | Administrative Affairs: Generating meeting minutes, drafting announcements, and more. | |
🌟 Analyzing Customer Feedback: Extracting key themes from conversations through Intelligent training |
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| 👏 Customer Satisfaction Rating: AI will automatically rate the service based on the service guidelines if the customer does not provide feedback, enhancing the effectiveness of feedback collection. | ||
Identifying Terms and Conditions: By analyzing, the AI can recognize relevant legal terms. |
Sales and Marketing
Operation and CS
IT and Engineering
Internal Process Optimization
Customer Service Chatbot: Providing accurate problem-solving solutions to customers, increasing cross-selling opportunities.
Creating Product User Guides
Assisting in FAQ Writing: Expanding knowledge base and providing detailed problem resolution.
Expansion and Maintenance of Customer Service Knowledge Base
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How GPT Contributes to Sales and Customer Satisfaction?
- Sales and Marketing: Establishing an AI-powered sales assistant to analyze customer preferences, assist in product selection, and offer personalized promotions and visually appealing content.
- Operations and Customer Service: Establishing a customer service chatbot to resolve customer inquiries and guide them towards making purchases, thereby increasing conversion rates.
AI Robots enhance problem-solving capabilities and allow human customer service agents to focus on handling complex cases, while also triggering additional sales opportunities.
Despite these advantages, it’s important to note that AI technology comes with risks such as accuracy and information security. We share five key selection criteria to help businesses successfully implement intelligent assistants and unlock more sales possibilities.
Five Key Factors for High-Quality Intelligent Customer Service:
The Five Key Selection Indicators to Facilitate the Successful Implementation of Intelligent Customer Service:
- Powerful AI Technology: Outstanding natural language processing (NLP) and analytical capabilities, enabling the algorithm to provide suitable offers and personalized interactions to enhance customer trust.
- Brand-specific Knowledge Base: Professional AI trainers create robots that align with the brand’s positioning and requirements, ensuring a consistent brand style and delivering a high-quality customer experience.
- Seamless Human-AI Collaboration: Smooth interaction between humans and robots without any gaps, ensuring that all types of questions can be addressed.
- Customizable and Flexible Configuration: The intelligent customer service system can be tailored and adjusted to meet specific business needs, allowing for customization and flexibility in delivering services.
- Integration with CRM Platform: Integration with customer relationship management (CRM) platforms enables seamless data synchronization to improves customer loyalty and repeat purchase rates.
Telexpress Smart CRM and AI Chatbot have already achieved over 100 successful cases in the Asia-Pacific region. We will integrate other AI extensions to assist in managing the customer journey.
AI CRM platforms enable businesses to collect and analyze customer interactions throughout the journey, predict buying behavior, and efficiently manage customer relationships.
Curious about more practical applications and effectiveness in AI customer service and sales? feel free to consult with our consultants who can tailor solutions specifically to your needs.
