New Way Now: Revionics delivers next-generation retail pricing analytics with Google Cloud

𝗦𝘂𝗺𝗺𝗮𝗿𝘆: Josh Oettle, head of product engineering and science, and Patrick Lea, senior VP for cloud infrastructure and operations at Revionics, share how Google Cloud is helping the intelligent retail pricing platform leverage gen AI to turn big data into smarter pricing decisions. With Google Cloud, Revionics built a new chat-based AI agent that can help customers understand system configuration and optimization and dive deeper into data on the factors influencing pricing. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Revionics wanted to find a way to make it even easier for retail customers to unlock insights and generate more value from all of its data and advanced analytics about their products, transactions, sales, stores, and more. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: With Google Cloud already powering its data science foundation, Revionics used Vertex AI to build a new gen AI-powered chatbot into its platform, leveraging its vast library of user guides and help documentation as the foundational source of knowledge for its models. The chatbot can help retail customers get started on the platform, optimize and update their pricing configurations, and find answers within Revionics’ robust data analytics to make decisions with confidence and clarity. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: Now, customers can ask questions and get answers back in seconds that are trustworthy and based on the latest data, so they can make data-driven decisions that help them manage their pricing better, solve their challenges faster, and stay ahead of the competition. 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗮𝗻𝗱 𝗸𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗳𝗿𝗼𝗺 𝗝𝗼𝘀𝗵 𝗢𝗲𝘁𝘁𝗹𝗲, 𝗛𝗲𝗮𝗱 𝗼𝗳 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗮𝗻𝗱 𝗣𝗮𝘁𝗿𝗶𝗰𝗸 𝗟𝗲𝗮, 𝗦𝗲𝗻𝗶𝗼𝗿 𝗩𝗣 𝗳𝗼𝗿 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗥𝗲𝘃𝗶𝗼𝗻𝗶𝗰𝘀: → “Using Vertex AI, we built a chatbot founded in our rich user help documentation and user guide system, allowing our users to quickly understand how to