Case Study: a US-based retail merchandize system developer reduces manual processing time with QArea's AI chatbot

US-based Retail Merchandize System Developer cuts manual processing by 70% with QArea

The client, a US-based retail merchandize system developer, faced challenges with time-consuming manual reporting and inefficient workflows for their inventory and sales platform. They sought to enhance their product with modern AI capabilities but were concerned about the cost and limitations of third-party tools. QArea was engaged to develop a customized AI chatbot to address these issues.

QArea designed and delivered a modular AI-powered chatbot using technologies like Next.js, Google Cloud Platform, and Gemini models. The solution integrated seamlessly with the client's platform, processing both structured and unstructured data. This resulted in a 70% reduction in manual processing time and 80% savings compared to proprietary chatbot costs, enabling faster decision-making and preparing the client to offer the chatbot as a new product feature.