Case Study

AI-Powered Chatbot for a Leading Swedish Retail & Wholesale Business

Discover how Code & Hue transformed internal operations for a leading Swedish retail and wholesale company by deploying an AI-powered chatbot. This case study highlights an 85% time reduction in product search, a 60% faster response time, and more.

3 - Minute Read

Quick Links
  • Services we offered
  • AI-Powered Chatbot for a Leading Swedish Retail & Wholesale Business
  • The Challenges
  • The Client
  • Solution
  • Impact

AI Chatbot Development

Machine Learning & Data Training

Workflow Automation

Integration with OpenAI

Custom Software Deployment

Overview

Increasing the Efficiency from 2 hours to mere minutes

We partnered with a leading retail and wholesale business in Sweden to build an AI-powered chatbot aimed at improving internal communication and workflow efficiency. The chatbot, powered by OpenAI's Large Language Model (LLM), was integrated with the client's internal systems and trained with their proprietary data. This solution drastically reduced the time spent by team members in finding relevant products for customers, decreasing the process from 2 hours to mere minutes. The deployment of this AI chatbot led to a significant increase in productivity and reduced response time across their operations.

Tools Used :
Custom Workflow, Open AI
Total Timeline :
04 Weeks
Location :
Sweden
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The Client

Understanding the Client & their Challenges

The client is a well-established player in the retail and wholesale sector, dealing with a large variety of products sold globally. With a complex and extensive product catalog, their internal teams often faced challenges in quickly finding and recommending the right products to customers, impacting overall productivity.

The Challenges

Key pain points that we analysed and Solved

Example
Internal Communication Inefficiencies

The internal team struggled with slow response times, spending up to 2 hours searching for and recommending relevant products.

Example
High Operational Costs

Inefficiencies in communication and manual workflows were leading to increased operational costs.

Example
Data Management

The vast amount of product data needed to be organized and made accessible in real-time to enhance decision-making.

Example
Handling Complex Product Queries

The client faced difficulty in quickly responding to complex product-related queries due to the vastness of their product catalog.

Solution - 1

Custom AI Chatbot Development

For the client, a large retail and wholesale business, efficient internal communication was a pressing need. Our team at Code & Hue developed a custom AI chatbot powered by OpenAI's LLM (Language Model), providing a cost-effective yet robust foundation for the solution. The chatbot was meticulously trained using the client's proprietary data, allowing it to respond with accuracy and contextual relevance to complex inquiries related to the company’s vast product catalog. By streamlining communication and enabling the chatbot to instantly recommend relevant products, we significantly enhanced the internal team's productivity.

  • Enhanced Accuracy: The AI was trained on specific company data, ensuring it could answer complex and context-driven questions.
  • Cost-Effective Foundation: Leveraged OpenAI’s LLM, which balanced affordability and performance.
  • Product Recommendations: Designed the chatbot to instantly provide product suggestions based on inquiries, reducing decision-making time.

The implementation of this AI-driven solution allowed the internal team to achieve seamless communication, improving efficiency by addressing the client’s needs effectively. This led to more rapid responses, ultimately increasing customer satisfaction and internal workflow efficiency.

Solution - 2

Workflow Automation

To further optimize the client’s internal processes, we integrated the AI chatbot with the client's internal systems, facilitating the automation of critical tasks like searching and recommending products. This automation drastically reduced the time required for manual tasks, such as product searches, allowing the team to focus on more strategic objectives. Custom workflows were implemented to streamline information retrieval, ensuring that the internal operations became more efficient and less time-consuming.

  • Automated Product Search: Integrated with the internal systems to automate product discovery, reducing manual effort.
  • Custom Workflows: Implemented tailored workflows that catered to the client’s specific operational needs.
  • Operational Efficiency: Significantly reduced the time spent on information retrieval tasks, allowing the team to prioritize customer-focused tasks.

The automation of these workflows marked a turning point in the client's operations. By eliminating tedious and repetitive tasks, the internal team could work more efficiently and focus on delivering better service to their customers, significantly boosting productivity.

Solution - 3

User-Friendly Interface

Recognizing the importance of ease of use, we developed a simple and intuitive user interface for the AI chatbot. This ensured that the internal team could interact with the chatbot effortlessly, allowing them to quickly access the information they needed without any steep learning curve. The interface was designed to be user-centric, facilitating seamless interaction with the chatbot and helping the team to navigate through the complex product catalog with ease.

  • Intuitive Design: Designed with a focus on simplicity to make it easy for all team members to use.
  • Quick Access to Information: Enabled instant access to relevant information through the chatbot’s interface.
  • Seamless Interaction: Ensured that the interface facilitated smooth and effective communication between the team and the AI system.

This user-friendly interface was crucial in enhancing the chatbot’s effectiveness. By ensuring that team members could easily utilize the chatbot, the solution helped minimize response times and improve overall team productivity.

Solution - 4

Handling Complex Product Queries

By developing and deploying a custom AI-powered chatbot, we addressed this challenge effectively. The chatbot was designed to handle complex queries and was integrated with internal systems to automate the process of product searching and recommendation. This reduced the time required to find relevant products by 85%, enabling the team to respond to customer inquiries within minutes rather than hours, thus improving customer satisfaction and internal workflow.

The Impact

Setting a new standard in data retrieval!

85%Time Reduction: The time required to find relevant products decreased from 2 hours to mere minutes.
45%Increase in Productivity: Overall team productivity saw a substantial boost due to the streamlined process.
60%Faster Response Time: Internal communication response times improved significantly, reducing delays.
35%Cost Savings: Automating manual tasks and improving efficiency resulted in notable cost reductions.
90%Accuracy in Product Recommendations: The AI-powered chatbot provided highly accurate product suggestions, enhancing customer satisfaction.

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