As a B2B overseas business development manager at NordGlobal Trade Hamburg, the biggest advantage weclapp ERP brings is being a German‑native combined ERP‑CRM platform that truly fits our cross‑border import‑export day‑to‑day work. Before switching over from Zoho CRM, all our overseas buyer profiles, supplier contacts, inquiry records and negotiation remarks were scattered across salespeople’s personal Excel files and email archives. Back in the first quarter of last year, I needed to launch outreach for machinery importers in DACH regions. I had to ping multiple sales and purchasing colleagues one after another to collect fragmented customer information. Lots of duplicated and missing entries dragged down my progress, and our whole outbound campaign got pushed back by two working days. After we rolled out weclapp, sales and back‑office teams log buyer inquiries, sample‑delivery updates, quoted pricing and negotiation notes all inside this single system. The out‑of‑box German‑language interface works really well for our local admin staff, so there was no steep language‑adaptation period. Last month, I was tasked to sort high‑potential manufacturing buyers for our new product line. I filtered our internal database by industry, country and historical inquiry status directly within weclapp, and generated a qualified prospect shortlist quickly. I did not need to chase teammates for separate spreadsheets, and finished client screening one full day ahead of our internal deadline. I also really like the flexible custom‑field feature. I built custom fields to record trade‑specific information including sample tracking numbers, estimated order volumes and buyers’ preferred payment terms. Our IT consultant configured my user role properly; I can view buyer data, apply filters and run exports, but cannot edit sensitive accounting records. It unifies our messy fragmented customer data and greatly optimizes my daily prospect‑preparation workflow. Even so, its native lead‑enrichment functionality stays pretty basic, and I still need to export contact lists and verify decision‑maker information through external sales‑intelligence tools. Review collected by and hosted on G2.com.
There are several obvious pain points within weclapp ERP that create repetitive manual work for my overseas business‑development tasks, and the rigid bulk lead import is the most noticeable one. When I collect fresh prospect datasets from sales intelligence platforms, my CSV files naturally carry extra cross‑border trade custom columns. Even though we have built corresponding custom fields inside weclapp, the import job will reject large amounts of records if the column sequence does not strictly match the official template. It cannot automatically match headers with our existing custom fields. Last month I prepared a prospect list containing over two‑hundred central‑European manufacturing buyers. Nearly half of all rows failed to import. The system only showed a vague total failure number, without telling me which specific rows went wrong, or whether it was blank cells, special‑character conflicts or column‑mapping mistakes. I had to open the spreadsheet and check every single entry line by line for formatting defects. That tedious cleaning work ate up almost half of my working day, and delayed our planned outbound email preparation for Smaily email marketing and automation. Apart from that, combined multi‑custom‑field filtering is not supported in native reports. If I want to screen prospects by both sample‑shipping status and target order size, I have to export everything and finish filtering in Excel. We also face relatively low API rate limits. Our IT tried building automatic data sync between weclapp and Smaily, yet rate‑limit constraints made that solution unworkable for our small‑team needs. There are no configurable alerts for large‑scale contact‑list exports either. I only can discover abnormal mass‑download events during my monthly manual GDPR audit‑log review. My suggestions are straightforward: add freely adjustable header‑mapping during import, generate detailed error logs with exact failed row numbers, and allow the system to ignore extra unused CSV columns instead of rejecting entire prospect records. These adjustments would cut my spreadsheet‑repair workload substantially. Review collected by and hosted on G2.com.