Smart Nutrition Assistance and Knowledge Access for Nutrition and Dietetics Industry through AI-Powered Chatbot Solution

Manual processes were increasingly making it difficult to deliver fast and accurate nutrition support.

The whole support operation ran on people — agents manually digging through web pages and internal documents every time a question came in. It worked until it didn't.

Limited Support: Live support agents were not always available, especially outside business hours.

Slow Responses: The users had to wait a lot. Offline messages piled up, and the back-and-forth delay started showing up in how engaged or disengaged people were with the platform.

Manual Search: Support teams spent significant time searching through website pages and PDF documents to find the right information and provide them to the users.

High Query Volume: As query volume grew, the system wasn't prepared to handle that kind of a load and affected user experience.

Inconsistent Responses: With answers depending entirely on individual agents, no two responses were guaranteed to match. Over time, that inconsistency undermined trust in the support experience.

Scattered Information: There was no single place to look a content was spread across the website and various internal documents. Agents had to check all of them before they could respond.

DEV IT created an AI-based chatbot using Microsoft Copilot Studio and GPT-4. It was designed to answer user questions on nutrition advice and provide reliable and timely responses. The new chatbot was wired directly into the client's website and nutrition document library.

Users could type a question and get a useful answer back in seconds — no agent needed, no waiting. That freed up the support team to focus on issues that actually needed a human touch, while the bot handled the everyday stuff around the clock. The Chatbot was also available 24/7 to answer questions, which improved customer engagement and access to information.

After implementation, the client saw a number of improvements. This includes a 50% faster response times and up to 40% lower support costs. The results also included about 60% shorter average query handling time, and a 30–50% drop in support ticket volume by automating repetitive queries.