Innovative AI/ML Based Product Mobile Dimensioning Solution Released
Advanced Solutions, developers of AdvancedDock (Yard/Dock orchestration platform) announced the release of their innovative AdvancedDIM mobile solution. The mobile solution allows customers to identify, count and dimension products quickly on the dock. AdvancedDIM uses 3D visioning, highly trained AI/machine learning models and intelligent OCR to size, Identify handling units, verify data and perform updates to Master data or shipping data automatically.
“AdvancedDIM allows product master updates to be performed by the personnel handling the actual product, in a quick and error proof manner. In a common workflow, a receiver is prompted to update dimensions of a product while performing its first receipt, the receiver uses AdvancedDIM to quickly 3D scan the carton, our software uses AI driven imaging models to size and/or count the product, allowing immediate updates to critical master data quickly and effortlessly,” said Managing Principal Phillip Avelar.
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Accurate dimensioning is critical for supporting optimal processes such as directed put-away, effort-based picking, order packing, load building and accurate shipping cost calculations. Now we make it easier to capture and ensure the accuracy of that data. One of the benefits of our “No SaaS data silos” vision is that our solution is completely integrated to our customer’s ERP system. This means our solution is creating and enhancing data that our customers have already collected and use extensively in daily processes across all areas of the business, not our data in our cloud servers.
When launched AdvancedDIM will initially be available as a new feature within the AdvancedDock platform but will also be available across Advanced Solutions product line and will eventually be available as a standalone solution. With no additional hardware other than an Apple IOS tablet, AdvancedDIM helps customers support long-term mobile solutions to master data gaps by incorporating them into standard workflows.
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