How Brio achieved effective warehouse inventory management by using Google Cloud ML services for a leading enterprise Conglomerate
A leading Cement manufacturing conglomerate utilized Google Vision and Video intelligence-based models for effective and accountable inventory management. This prevented manual inventory checks, created an effective workflow system across all reporting verticals, saved costs, and promoted innovation.
Challenges
Solutions
Inventory Stock : Managing stock of several cement sacks coming in and going out of the warehouse was ineffective.
Inefficient Process : Existing manual methods were slow, error-prone, inadequate, and time-consuming.
No Centralized System : A single data platform across various data verticals hindered effective comparison.
AI-Powered Comparison : Google Vision ML automated SKU analysis and comparison.
Centralized Platform : All the SKU information was housed in a single, searchable system.
Automated Detection : The system automatically flagged potential issues with the cement sacks.
Workflow Integration : Seamlessly integrated into existing design processes.
Scalable Solution : Handled large volumes and accommodated future growth across various warehouses.
Improved Efficiency : Automated process saves time and resources.
Business Impact
Inventory Count : Significantly helped in getting the exact cement sacks going in and out of the warehouse.
Cost Savings : Lower inventory costs, reduced storage expenses, and less wasted effort.
Process workflow : Enabled accountability of cement sack stocks across a warehouse, and manufacturing plant.
