New ways of interacting with technology like ChatGPT and similar models represent the biggest disruption in the history of information. If the arrival of the iPhone in 2008 was perceived as the opening of a stage that gave rise to new sectors such as ride hailing (Uber, Didi, Lyft), food delivery (iFood, Rappi), or property rental for short periods (AirBnB), interaction through text and voice executing highly complex processes promises to be a much greater disruption.
Have you ever thought about what it would be like to ask ChatGPT to answer your customers’ queries and automatically execute the necessary processes in your BackOffice?
Have you ever thought about what it would be like to ask ChatGPT to validate your company’s inventories based on an image of your distribution center?
Have you ever thought about what it would be like to ask ChatGPT to analyze your sales and provide a recommendation to increase volumes or margins?
Have you ever thought about what it would be like to ask ChatGPT to create hundreds of high definition images for your campaigns, in record time and without needing large teams of designers?
Have you ever thought about what it would be like to ask ChatGPT to anticipate the next product a customer will buy?
Our team has strong experience building and managing these technologies over the last 10 years, on platforms such as Facebook, Instagram, WhatsApp, SAP and Facily, one of the largest e-commerce startups in the history of Brazil.
Following the culture of construction and development of the largest technology hubs in the world, Prompt8AI offers three steps of collaboration:
Navigate and experiment with new technologies together with your teams, understanding how they can generate strong gains, accelerate growth, or generate a competitive advantage that your competitors cannot replicate. In this process, teams experiment with some LLMs (Large Language Models such as ChatGPT), create some initial Prompts (simple instructions), and test basic interactions with sophisticated analysis and image creation APIs. Bootcamp ends with a Roadmap of possible projects to be executed.
Bootcamp premises are tested and validated through the rapid construction of operational models based on the Roadmap. In a few days, teams build functional prototypes that confirm or adapt the Bootcamp’s premises and begin to deliver results. Some of the companies we work with at this stage made important changes, for example in their graphic design teams, eliminated large numbers of customer service representatives, or launched features for their consumers that changed their value proposition forever.
With the confidence generated by successful prototypes, teams embark on building large-scale platforms with great impact on their organizations. Even though the focus remains on delivering results in the short term, this stage focuses on building more complex platforms and integrations that can take a few weeks or months, including adoption efforts by large corporate teams.
Prompt8AI supports the three stages with teams of executives with strong experience in the area, business analysts, user interface designers, technology developers and data specialists depending on the requirements of each client.
(confidential customer in e-commerce) Implementation of ChatGPT 3.5 using prompts to automate the first level of interactions with customers. By eliminating the need for a customer service representative to answer the simplest questions, there was a 92% reduction in the cost of Customer Service.
(confidential customer in consumer goods) Development of a set of algorithms to anticipate the next purchase a customer may make, offering only those products that are relevant to them. Improved conversion reduced the time customers needed to make purchases and doubled the conversion rate from impressions to sales.
(confidential client in the Marketplaces sector) Implementation of ChatGPT 4.0 and Dall-E to automate the creation of large volumes of images for daily promotional sales campaigns. The initiative improved the quality of creative material and allowed an 80% reduction in the creative team dedicated to production.
