BBomerang.ioAI agents and automation
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In productionAssisted prospecting

Prospecting that ends in the CRM, not in a spreadsheet

Finds businesses, filters out the ones that are already customers and hands each contact to the salesperson inside their pipeline.

How the data flows

  1. Business search
  2. Match against the ERP
  3. Outreach drafted
  4. Lead in the pipeline

16,234customers checked to avoid repeats

Client
ProspectorIA
Industry
Sales intelligence
Where
Argentina and Paraguay
Integrations
Google Maps, Chess ERP, WhatsApp Cloud API, Kommo CRM

The context

It is used by salespeople who prospect businesses in two countries and need to keep territories, conversations, current customers and pipelines apart without mixing their data.

The problem

Prospecting the region by hand took hours and mixed searches, conversations and existing customers. On top of that, it had to work for two salespeople and two countries without them stepping on each other.

What we built

  1. 01An eight stage pipeline: deterministic search and cleanup, matching against the ERP's 16,234 customers, enrichment, drafting the outreach and follow up.
  2. 02Each installation keeps its own runs and delivers the lead to the right CRM pipeline.

What changed

  • The message goes out, the reply comes back to the same conversation and the salesperson gets the lead with its context.
  • Prospecting no longer depends on someone keeping a spreadsheet up to date.

Stack

PythonFlaskPM2VPS

Connects with

Google MapsChess ERPWhatsApp Cloud APIKommo CRM

Design something similar for your operation

No system is copied and pasted: what works here came from how this business runs. Tell us about yours and we will see what fits.

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