🔹 1. Project Overview
The client is a large digital and marketing agency managing several business directions at once: its own products, partner networks, advertising campaigns for medical niches and more. The team used Bitrix24 to manage hundreds of daily leads, but made a strategic decision to move to a more modern sales-friendly system — Kommo CRM (ex-amoCRM)
🔹 2. What The Client Had
The real problem was not the migration itself, but the condition of the data and the process logic inside the old system
•Pipeline chaos: Bitrix24 had accumulated new pipelines for separate tests over the years
In total, there were more than 10 pipelines, each with its own often illogical set of statuses
•Migration complexity: manually moving a database with tens of thousands of deals and their history across fragmented statuses would have taken months of manager work, with a serious risk of data loss
•Need for optimization: the client did not want to simply "copy" the old system into a new one. The goal was to unify all old processes into 5 clear Kommo pipelines
🔹 3. Scope
1. Run a deep audit and mapping of 80+ fragmented Bitrix24 deal statuses
2. Design the consolidation logic that would merge those statuses into new Kommo sales stages
3. Write custom scripts for a safe automatic migration of thousands of leads between platforms through APIs
🔹 4. Solution
Standard integration apps could not handle this kind of logic change, where 10 old pipelines needed to become 5 new ones, so I built a custom Node.js migration solution
•Step 1: Audit and mapping (+ data analysis). First, I used API requests to extract the entire Bitrix24 status structure. Then I created a mapping table where every old stage, for example `D11:UK_ARDD1E` — "Presentation sent", was linked to its new Kommo stage
•Step 2: Migration engine. I wrote scripts that transferred client names and phone numbers, while also placing deals into the correct new stages and pipelines
•Step 3: Database cleanup. During migration, the script automatically detected junk and duplicate leads, keeping years of accumulated information noise out of the new CRM
🔹 5. Results And Business Value
•Migration without downtime: the migration ran automatically in the background, allowing the sales department to keep working and avoid losing hot leads
•Clean process architecture: instead of chaos across 10+ outdated directions, the company received 5 optimized Kommo pipelines where every deal had a logical place
•Time savings: the automated transfer saved hundreds of hours of manual data entry and removed the human-error factor from the migration
•More than 5000 leads were migrated, many of which had already become long-term customers
