An automotive parts manufacturer faced challenges managing large-scale inventory and supply chain logistics. They aimed to minimize waste and optimize stock levels to reduce operational costs.

The Challenge

The manufacturer often had an imbalance between inventory supply and demand, leading to either excess stock or stockouts. Additionally, communication with suppliers was slow, causing delays in critical parts replenishment and leading to high holding costs.

The Solution

The company implemented RoundInfinity’s AI-driven workflow automation to predict inventory needs accurately. Integrated with their existing CRM, the solution facilitated real-time updates between the inventory and supply chain teams, enhancing transparency and communication.

Key Features Implemented

• AI Predictive Analytics: Leveraged data to forecast inventory levels, reducing the need for manual intervention.
• Supplier Management Automation: Enabled direct, instant communication with suppliers for quicker restocks.
• Real-Time Inventory Tracking: Provided continuous insights into inventory levels, allowing dynamic adjustments.

Results

The company reduced waste by 20% and improved supplier response times, which minimized stockouts and optimized holding costs. These improvements led to significant cost savings and smoother inventory management.

Conclusion

RoundInfinity enabled the automotive manufacturer to predict and respond to inventory needs efficiently, optimizing stock and improving supplier relations.