The Sync BigCommerce and DEAR inventory levels integration is an agile workflow allowing to link manufacturing output with ecommerce inventory levels. The process is as follows: Changes in output inventory levels at DEAR, then synchronize across BigCommerce stores and vise versa. DEAR Inventory is a powerful tool for managing inventory levels from raw materials to warehouse products. It can combine its power with major sales platforms such as BigCommerce to leverage efficiency all across the product chain.

4 to 5 out of 5.The most challenging part of this integration relates to mirroring multiple eCommerce channels, POS, and warehouses.

This Sync BigCommerce and DEAR inventory levels workflow is a simple to complex to develop automation. It is technically possible to push data from one place to another with ease on Zapier. However, mirroring data across different sales channels, and managing huge inventories that are quickly updated by the manufacturing, makes Zapier or similar alternatives a non-viable option. With this automation for these more complex scenarios on which products get updated quickly, way too many Zaps and tasks would be required, being far more profitable to develop a custom API bridge solution. Here is an example: A brand with a vast inventory of 500+ products, taking care of manufacturing, updates their DEAR warehouse inventory levels every day. They have two sub-brands at BigCommerce in two countries each. A solution for mirroring their stores and warehouse inventory levels can be developed custom to communicate data in real-time between BigCommerce and DEAR, backup the information every certain time, and notify certain departments about processes that are having any error. Depending on the complexity of the workflow, what triggers updates, and what additional required workflows to be added on top of basic data synchronizations the integration can be mid to highly technical. Working this kind of automation with Parabola or similar might end up being more expensive than its equivalent in a server with a custom API, given the number of calls that are to be issued, and the limitations that "updating with a trigger" implies. This will, of course, depend on the editor's workflow and many other factors unique to your organization. Working this kind of automation with Parabola or similar might end up being more expensive than its equivalent in a server with a custom API, given the number of calls that are to be issued, and the limitations that "updating with a trigger" implies. This will, of course, depend on the editor's workflow and many other factors unique to your organization.

Each workflow is unique and so its related business strategy. And some workflows are not even realistic to achieve manually as for having a point of comparison. However, setting real-time updates aside, and imagining a scenario on which to update inventory levels twice a day takes 30 minutes, times three sales channels, times two warehouses, we would be talking about 360 hours saved each month (around 4320 hours a year / $95,000 saved each year). Quite a huge save!Here is another piece of information: The positive outcomes extend to also reducing human errors and the consequences they can have. It is also about avoiding selling above the real inventory margin. And it also relates to not losing sales for underestimating inventory levels. Thus, the return of investment for automating this workflow would go beyond just saving hours. Your team would certainly communicate better, react faster, and work more agile.