![case study](https://cdn.quantiphi.com/2024/03/0dfe6cf2-supplier-chatbot.png)
Supplier Chatbot
Retail & CPGBusiness Impacts
24/7
Assistance
Customer Key Facts
- Location : North America
- Industry : Automotive
Problem Context
The client is one of the “Big Three” automobile manufacturers in the United States. The current process for suppliers to resolve any issues they face with the manufacturer is entirely manual. Suppliers either need to call the help desk for support or report an incident on the portal itself.
From there, query resolution involves searching through large manual documents or requires basic electronic search, which often results in missing context and slower response time. The client wanted an automated, self-sufficient query-answering solution to assist the suppliers as well as improve operational efficiency.
Challenges
- Managing variance in supplier queries
- Assistance through screenshots, hyperlink responses
![](https://cdn.quantiphi.com/2024/03/Q_Supplier-Chatbot-Challenges.png)
Technologies Used
![Python](https://cdn.quantiphi.com/2024/02/5-2-python-logo-png-image-thumb-1.png)
Python
![Dialogflow](https://cdn.quantiphi.com/2024/02/Dialogflow_logo-1.png)
Dialogflow
![Node.js](https://cdn.quantiphi.com/2024/02/node.js-2.png)
Node.js
An Intelligent Chatbot Solution That Optimizes the Query Resolution Process for Suppliers
Solution
Quantiphi developed an intelligent and highly scalable chatbot system based on Google Cloud’s Dialogflow Platform that provides 24/7 year-round online assistance to supplier queries based on a repository of text documents ( i.e. FAQs/historical incidents).
Result
- Reduced time and efforts
- 24/7 assistance
- Transformative automation