Our e-commerce operation struggles with managing 10K+ products, bundled SKUs, and assets without API support from our supplier. We need a robust PIM solution to automate sales and inventory across platforms.
In my recent experience managing an expansive inventory without direct API access from suppliers, I found that a flexible PIM solution is indispensable for streamlining product data and inventory synchronization. It becomes crucial to integrate data scraping or periodic CSV uploads directly into your PIM, which then serves as the single source of truth across platforms. Automating data normalization and enrichment through custom scripts enabled a smoother transition from raw supplier data to enriched product listings. This approach significantly reduced manual handling and errors, ultimately supporting efficient operations at high volume.
Hey everyone, I find this conversation really interesting! Just chiming in with a slightly different perspective on tackling PIM issues when you’re dealing directly with raw supplier data. I’ve been exploring methods where the focus is on creating a middleware layer that converts inbound supplier feeds into more manageable format before they hit your main database. It’s almost like setting up an ETL process tailored just for those product data flows. The idea is to minimize manual intervention early on so that downstream processes really benefit from consistency and automation.
I’m curious if anyone else has had experience with reusable transformation pipelines that can adapt your data stream regardless of how frequently the supplier changes their format? Also, has anyone considered combinations of both managed and self-built solutions to strike that balance between cost and control? I’d love to hear more about how others approached quality control and error handling in these setups. Your thoughts?
hey, i tried a middleware based microservice approach for similar issues. it automates feed processing, albeit with a couple of hiccups here and there. might be worth tinkering with if you like flexibility. cheers!