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BrazilConsumer goods2025 – ongoing

Natura Cosméticos

Generative AI reports for CRM campaigns

Natura's CRM reporting cycles ran 64% faster after it automated campaign reports with generative AI

WorkingVendor case studyVendor ↗

Problem

Natura's CRM teams needed campaign reports for many audiences in several countries. Producing them by hand was slow.

Approach

Natura built a generative AI reporting system on Databricks that writes campaign summaries and headlines from campaign data. A Python library of prompts automates the report templates for 20 audiences. Non-technical analysts built new use cases with retrieval-augmented generation, and the team tested models before choosing Claude 3.7. A pilot of one-to-one WhatsApp and push messages was also under way.

Results

64%faster reporting cycles, per DatabricksVendor case study[1]
23.5%increase in CRM-driven revenue, per DatabricksVendor case study[1]

Takeaway

Automated reports gave CRM teams faster cycles across countries and languages. The company did not say how the revenue gain was attributed.

Categories

Business function
Marketing and sales
Innovation type
Process innovation
AI technology
Generative AI
Evidence
Vendor case study

Sources

  1. Accelerating CRM impact with GenAI-powered insights
    Databricks22 Sep 2025Vendor publication

Source summaries

[1]Databricks22 Sep 2025

Databricks describes Natura's generative AI reporting system for CRM campaigns. It reports 64% faster reporting cycles, a 23.5% rise in CRM-driven revenue, and more than 20 automated reports in six countries and two languages.

Full details are in the original sources.

Added 4 Nov 2026 · Updated 4 Nov 2026
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