This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Develop AI-Powered Customer Service Chatbot for Global Retailer

unosquare.com

Retail

Consumer products & services

eCommerce

Customer Service Inefficiencies

Global Retail Corp experiences high volumes of customer inquiries through multiple channels (phone, email, live chat) leading to long wait times, agent burnout, and inconsistent service quality. Current support systems lack the scalability and efficiency to handle peak demand, resulting in customer dissatisfaction and increased operational costs.

About the Client

Global Retail Corp is a large multinational retailer specializing in apparel, home goods, and electronics, operating physical stores and an extensive online platform across multiple continents.

Project Goals

Reduce customer service response times by 50%.
Improve customer satisfaction scores by 15%.
Decrease customer service operational costs by 20%.
Provide 24/7 customer support availability.

Functional Requirements

Natural Language Understanding (NLU) for intent recognition.
Automated responses to frequently asked questions (FAQs).
Order tracking functionality.
Return and exchange process initiation.
Integration with CRM system for customer data access.
Seamless handoff to human agents.
Sentiment analysis to detect customer frustration.
Multilingual support (English, Spanish, French).

Preferred Technologies

Google Dialogflow

Amazon Lex

Python

REST APIs

Required Integrations

CRM system (Salesforce)
Order Management System (OMS)
Inventory Management System (IMS)
Live Chat platform (Intercom)

Non-Functional Requirements

Scalability to handle peak traffic.
High availability and reliability.
Security to protect customer data.
Performance with sub-second response times.
Robust logging and monitoring capabilities.

Expected Business Impact

The implementation of this AI-powered chatbot is expected to significantly improve customer experience, reduce operational costs, and free up human agents to focus on more complex issues. By automating routine tasks and providing 24/7 support, Global Retail Corp will enhance customer loyalty, improve brand reputation, and achieve a competitive advantage in the retail market. Improved efficiency will also contribute to cost savings across the customer service department.