Data & Research · GitHub ·2 ★

RFM_Segmentation

This is a basic workflow with CrewAI agents working with sales transactions to draw business insights and marketing recommendations. The agents will work on everything from the execution plan to the business insights report. It works with local LLM via Ollama (I'm using llama3:8B but you can easily

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Details

Author
cperazza
Category
Data & Research
Platform
GitHub
Framework
crewai
Language
python
Stars
2
First indexed
2026-05-15
Last active
2024-06-23
Directory sync
2026-05-15
@cperazza

Overview

This is a basic workflow with CrewAI agents working with sales transactions to draw business insights and marketing recommendations. The agents will work on everything from the execution plan to the business insights report. It works with local LLM via Ollama (I'm using llama3:8B but you can easily

Quick start

git

git clone https://github.com/cperazza/RFM_Segmentation

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What RFM_Segmentation can do

llmsalesanaly
  • Llm — llm task automation.
  • Sales — Qualifies leads and drafts sales communications.
  • Analy — analy task automation.

Frequently asked questions

What is RFM_Segmentation?
This is a basic workflow with CrewAI agents working with sales transactions to draw business insights and marketing recommendations. The agents will work on everything from the execution plan to the business insights report. It works with local LLM via Ollama (I'm using llama3:8B but you can easily
How do I install RFM_Segmentation?
Use git: `git clone https://github.com/cperazza/RFM_Segmentation`. Full setup details on the source page linked above.
Is RFM_Segmentation open source?
RFM_Segmentation is published on GitHub.
What are alternatives to RFM_Segmentation?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for RFM_Segmentation is sourced from GitHub, published by cperazza.

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