Grocery supplier reduces data retrieval time by eighty percent

Modern enterprises accumulate vast amounts of structured and unstructured data, including databases, emails, messages, and documents. Retrieving relevant information quickly is crucial for daily operations but remains a complex challenge. Traditional query implementation is time-intensive, requiring custom-built interfaces and backend APIs that connect different applications.

A leading grocery supplier struggled with inefficient data retrieval that was slowing sales operations. As one senior sales rep noted: "I spent hours manually pulling data from multiple systems for simple inquiries. It was frustrating and time-consuming."

Yearling AI built an AI-driven data retrieval system, seamlessly integrated as a microservice on Google Cloud Platform (GCP). The solution allows users to ask questions in natural language through text or speech and instantly retrieve relevant information, eliminating manual database queries.

AI-powered search using NLP, Knowledge Graphs, and CypherQL ensures accurate results. Automated email responses extract answers from past inquiries, reducing administrative workload. With a microservice architecture, the solution integrates effortlessly into existing systems.

The AI-powered solution gave the grocery supplier instant access to critical business data and cut administrative workload by 80%, freeing the team from hours of daily manual queries.