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Opening Keynote - Unveiling Odoo 18
Fabien PinckaersHecho
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Manufacturing company migrates from NetSuite to Odoo (Customer Case Study)
Brett EerdekensHecho
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Streamlining Operations with Odoo: A Case Study of a Leading Food Manufacturer
Francisco EstevezHecho
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Creating a Sustainable Circular Economy for Plastics with DePoly and Odoo CRM
Noémie (Nemo) KellerHecho
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Streamlining Dental Practices with Odoo’s Centralized Solution for 1.5x Growth
Priyal ShahHecho
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How Austrian Audio Transformed Its Production Planning to Demand-Driven Manufacturing with Odoo
Vadim RauHecho
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Empowering Sustainable Production with Industrial IoT and AI: Zerynth's Success Story with Odoo Connector
Emanuele FiglioliaHecho
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Online food delivery app for a pizza chain in India
Husen DaudiHecho
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From Community to Enterprise for Photovoltaic Business
Daniel FetzerHecho
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Customer Story : Action Damien
Charles-Henri Levy MorelleHecho
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.