How Our AI Solution Transformed Retail Inventory

Overview

A prominent retail chain in Bangalore approached us with a pressing challenge: optimizing their vast inventory. As the business expanded, it faced several inventory issues like inaccurate stock levels, stock-outs, overstocking, and delays in responding to changing market conditions. The client sought our expertise for an efficient AI solution for their supply chain management

Industry

Retail & FMCG

Services

AI, IOT

Our Process

Our innovative AI solution for their business provided a dynamic and efficient framework for the client. We integrated RFID technology and smart sensors for real-time tracking of inventory 

1
Understanding Client Needs

We initiated the project by working closely with the client to understand their specific pain points. Through detailed discussions, we identified measurable performance indicators to track progress. 

2
Crafting the Solution

We developed a technical blueprint for the AI-integrated inventory management system. By using RFID tags and sensors, we ensured accurate, real-time tracking of inventory across all stores. 

3
Streamlining Inventory Management

Automation was introduced to optimize key processes, from restocking based on demand forecasts to maintaining ideal stock levels, reducing the operational burden significantly. 

4
Developing the Dashboard

We designed an easy-to-use dashboard that allowed the client to monitor inventory efficiently. Our team also conducted comprehensive training to ensure seamless usage across all levels of the client’s organization. 

The Problem

The client faced multiple issues in managing a large-scale inventory system. The manual processes led to inaccurate stock levels, resulting in stockouts or overstocking. Their forecasting and restocking were complex and inefficient. It caused lost sales or surplus stock, hindering business growth. 

Our Role

  • Understanding Need
  • Solution Design
  • Streamlining Inventory Management
  • Developing the Dashboard

Project Challenges

Integrating with Old System

The integration of the new AI system with the existing infrastructure presented a few hurdles. We ensured that the system was thoroughly tested for compatibility, reducing the risk of disruption. 

Adoption of New Processes

A key challenge was getting the staff on board the new automation system. We implemented a robust training program to ensure smooth onboarding and acceptance at all organizational levels. 

Results

Our AI-powered inventory solution brought about impactful changes: 

Technical Results

Inventory accuracy improved by 35%, reducing stockouts and overstocking. The operational time required for processing decreased by 40%, leading to increased efficiency. 

Financial Outcomes

Demand forecasting precision led to a 15% boost in sales. Additionally, the reduction in excess inventory and emergency restocking costs resulted in a 25% decrease in related expenses. 

Market Adaptability

The client’s agility in responding to market trends improved by 50%, highlighting the transformative power of AI in optimizing retail operations.