Systems integration solves one of the most common problems of growing companies: good software that works in isolation. When your CRM, ERP, online store and warehouse don't talk to each other, your team becomes the integration — copying data by hand, with delays and mistakes.
Integrations we do most often
- CRM/ERP and your online store — products, prices and stock synced to the website; orders flow automatically back.
- Moving off legacy systems — if your current software is old, rigid and hard to adapt, we recommend replacing it with a modern CRM or ERP that we build or integrate for you, and migrate your data safely.
- CRM and ERP — the client, quote, order and invoice are the same information, seen from different systems.
- Payments and invoicing — a confirmed payment automatically updates the order and the accounting documents.
- Messaging — notifications and conversations on WhatsApp and Telegram, tied to orders and clients in your systems; see also our chatbot for WhatsApp and Telegram.
- Internal applications — any in-house tool, connected via API to the rest of your stack.
A source of truth for every type of data
A successful integration starts with a simple decision that is often skipped: which system is the source of truth for each type of information. For example, stock comes from the ERP, client contact details from the CRM and payment status from the payment provider. We agree these rules with you before writing code, to avoid data conflicts.
Integrations that don't break silently
The problem with most integrations isn't building them — it's that they stop working without anyone noticing. That's why every integration we deliver comes with:
- a log of every data transfer;
- automatic retries for temporary errors;
- alerts when something needs attention;
- documentation of the fields and mapping rules.
Integration or a new application?
Sometimes, after integrating, it becomes clear a tool is missing to bring everything together — an order dashboard or a client portal. That's where custom software development comes in. And once data flows automatically, the natural next step is automating the processes built on top of it.