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Jared Kipe is the lead developer at Hibou, a US-based Odoo Gold Partner. Hibou focuses on sustainable solutions, both out-of-the-box and through custom development, backed by enterprise-level support and user documentation. Hibou is also an avid contributor to the Odoo open-source community though their Hibou Odoo Suite: https://gitlab.com/hibou-io/hibou-odoo/suite
Whether your company has several warehouses or just wants to get a delivery estimate on a quotation, Hibou’s Order Planning addons have something to offer you.
This talk will focus on common scenarios and questions that large and multi-warehouse companies encounter regularly, including:
- how can we determine which warehouse can fulfill a particular order?
- if any warehouse can fulfill an order, which warehouse is closest to the customer and will result in the lowest shipping costs?
- if no warehouse can fulfill an order, can a combination of warehouses do so?
- what is the shipping cost and estimated arrival date for a particular order, based on the warehouse (or combination of warehouses) that must fulfill the order?
We will start with installation and setup, configuring each piece and discussing how it relates to the overall goals of reducing shipping costs and shipping times while improving operational efficiency. Once setup is complete, we will walk through each of the scenarios outlined above, including:
- ideal stock planning from the closest warehouse
- stock issues that result in planning from a further warehouse
- stock issues that result in planning from multiple warehouses (with pickings per-warehouse)
We’ll then review advanced planning through Category or per-product Planning Policies, which facilitates scenarios such as:
- products that are very light but fragile or have special packaging and, as such, must ship through specific carriers.
- products that must ship from specific warehouses; for example, if they are manufactured at that location.
- products that you require ship from the closest warehouse to the customer, such as perishables or to save on shipping costs.
We’ll end the talk with a discussion and demonstration on local deliveries and how to use geolocation to plan warehouse delivery routes based on central points, followed by Q+A.