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Opening Keynote - Unveiling Odoo 18
Fabien PinckaersHoàn tất
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Streamlining Operations with Odoo: A Case Study of a Leading Food Manufacturer
Francisco EstevezHoàn tất
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Manufacturing company migrates from NetSuite to Odoo (Customer Case Study)
Brett EerdekensHoàn tất
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Creating a Sustainable Circular Economy for Plastics with DePoly and Odoo CRM
Noémie (Nemo) KellerHoàn tất
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Empowering Sustainable Production with Industrial IoT and AI: Zerynth's Success Story with Odoo Connector
Emanuele FiglioliaHoàn tất
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How Austrian Audio Transformed Its Production Planning to Demand-Driven Manufacturing with Odoo
Vadim RauHoàn tất
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Streamlining Dental Practices with Odoo’s Centralized Solution for 1.5x Growth
Priyal ShahHoàn tất
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Online food delivery app for a pizza chain in India
Husen DaudiHoàn tất
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Transform Hotel Operations with Odoo: Achieve 20% Higher Revenue with Dynamic Pricing solution and Centralized Management
Priyal ShahHoàn tất
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Connecting to Amazon Vendor With Modern GS1 XML Instead of EDIFACT
Alberto NietoHoàn tất
This talk walks you through the strategies for optimizing warehouse efficiency and reducing the average order packing time by 1/10.
Ksolves has helped a textile manufacturing business streamline the overall packaging process and boost operational efficiency by minimizing travel time within the warehouse.
A clothing manufacturer has a massive 5 lakh sq km of warehouse, a lean workforce of 15, and a crippling order packing process. Due to the vast space and lack of organization, locating items for each order took an exorbitant amount of time, impacting fulfillment speed.
Implementation highlights
- Automated routes for order pickers, directing them to the most efficient paths to locate and collect items for each order.
- Resupply rules within Odoo prevent stockouts and maintain smooth picking.
- Designated locations within the warehouse for each product category.
Results
- Reduce the average order packing time by 90%.
- Enhance inventory accuracy and management.
- Accelerate order fulfillment and improve reliability.
- Reduce labor costs by optimizing warehouse navigation and processes.
- Optimize warehouse workflows and significantly reduce order packing times.
- Maintain optimal stock levels for smooth order fulfillment.
- Minimize travel distances and improve picking efficiency.