Deskhero's AI 'suggested replies' feature works by analyzing previous resolutions, knowledge base articles, and other relevant data specific to the Shale Oil and Gas Extraction industry. The AI generates embeddings vectors for this data and stores them in a vector database. When a new ticket or search query comes in, the AI compares the query against the stored vectors to find similar and relevant data. The relevant data is then passed to ChatGPT, where it generates a suggested reply based on the attached data. This reply is presented to the user as a suggested response or search result.
Use case 1
Efficient ticket resolution - When a support agent receives a new ticket related to the Shale Oil and Gas Extraction industry, Deskhero's AI suggests relevant replies based on similar resolved tickets. This helps agents quickly resolve customer issues by providing them with pre-generated responses that have proven effective in the past.
Use case 2
Accurate search results - When users search for information within the Deskhero platform, the AI analyzes the query and matches it against the stored data. It then generates a human-like reply based on the relevant parts of the matched customer data. This ensures that users receive accurate and comprehensive search results specific to the Shale Oil and Gas Extraction industry.
Use case 3
Continuous improvement - Deskhero's AI 'suggested replies' feature continuously learns from new tickets and resolutions in the Shale Oil and Gas Extraction industry. As more data is processed, the AI becomes more accurate in generating relevant and helpful suggestions, further improving the efficiency and effectiveness of customer support.
