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We have created the Product Counting solution with the help of AI algorithms & based on that we have made the case study in the form of PPT.
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Product Counting Case Study
Product Counting Customer Detail Industry - Oil & Energy Location - India Problem Statement The logistics team was facing issues in getting complete visibility of the inventory, products inflow and outflow. Challenges 1) Installation of additional cameras at the bay to track the activities. 2) Placement of the palette products was unstructured. 3) Identification of the categories of products.
Technology PyTorch AWS S3 Python Django App
Solution ● Labelling of the products category wise ● Collection of data with correct and incorrect way of products loading to get all edge cases ● Designing of the model to detect the products of various categories and get its count in real-time ● Creation and connection of dashboard with their ERP invoicing module to give updates of categories of product loaded / unloaded Business Impact The logistics team was able to reduce manual counting error and provided a proper double-checked inventory visibility to the client.
Our Methodology 3 2 Deployment Once complete solutions is ready then we deploy at your core system. Designing Solutions Our team of experts, starts building solutions to deliver your business goals. 1 Understanding Requirements We understand your business goals, and get acquainted with all the necessary details.
Chirag Tank Co-Founder & CEO +91 7021980537 chirag.tank@datenwissen.com Thank You Jitendra Purohit Co-Founder & COO +91 9820080751 jitendra.purohit@datenwissen.com Website: datenwissen.com