replen.it valid
Replenit
Replenit is an AI Decision Engine for retail. Maestro, its AI CRM Manager, reasons, remembers, and executes 1:1 individualized retention workflows for every customer, autonomously, on top of the CRM/CDP/marketing-automation stack you already run. Trusted by L'Occitane, Mumzworld, Beko, Faith In Nature, Escentual, ebebek, and more. GDPR, ISO 27001, and SOC 2 Type II compliant.
- Authority
- 46 reach 5 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://replen.it/llms.txt
- Sections
- 5
- Links
- 25
- Size
- 3512 bytes
- Popularity rank
- #993813
- Country
- Italy
- Categories
- Marketing
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-19T10:45:35.756Z
- Last checked
- 2026-10-21T23:36:56.539Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T23:36:54.850Z. Cached copy · Source on replen.it
# Replenit
> Replenit is an AI Decision Engine for retail. Maestro, its AI CRM Manager, reasons, remembers, and executes 1:1 individualized retention workflows for every customer, autonomously, on top of the CRM/CDP/marketing-automation stack you already run. Trusted by L'Occitane, Mumzworld, Beko, Faith In Nature, Escentual, ebebek, and more. GDPR, ISO 27001, and SOC 2 Type II compliant.
## Product
- [AI Decision Engine](https://replen.it/ai-decision-engine): The reasoning core that fuses signals and decides the next best decision per customer.
- [Maestro AI CRM Manager](https://replen.it/ai-crm-manager): Autonomous CRM manager built for retailers.
- [Platform](https://replen.it/platform): The full platform overview.
- [Theory of Mind](https://replen.it/theory-of-mind): Replenit's positioning on customer modeling.
- [Retail Agents](https://replen.it/retail-agents): The seven-agent decision-engine surface (Replenishment, Cross-Sell, Upsell, Engagement, Winback, Product Churn, Promotion, Substitute).
- [Retention Marketing](https://replen.it/retention-marketing): How Replenit turns retention into predictable, compounding revenue.
## Case studies (with quantified outcomes)
- [All case studies](https://replen.it/case-study): Index of Replenit customer success stories.
- [L'Occitane — +235% post-purchase revenue](https://replen.it/case-study/loccitane-ai-decision-engine-post-purchase-revenue)
- [Mumzworld — 42X ROI](https://replen.it/case-study/mumzworld-42x-roi-replenit-ai-decision-engine-case-study)
- [Ovabalance — +340% repeat revenue](https://replen.it/case-study/ovabalance-grows-repeat-revenue-340-with-replenit-ai)
- [iBOOD — 16.6X ROI in 54 days](https://replen.it/case-study/how-ibood-built-retention-with-replenit-16x-roi)
- [Faith In Nature — 12.71% of total revenue](https://replen.it/case-study/faith-in-nature-replenit-case-study-12-percent-revenue)
- [Glosel — +53% automation revenue](https://replen.it/case-study/how-replenit-generated-33x-roi-and-35-of-automation-revenue)
- [Farmex — 12X conversion boost](https://replen.it/case-study/farmex-achieves-a-12x-conversion-boost-with-replenishment-emails)
- [Kito Pet — 14X ROI in 1-day Shopify integration](https://replen.it/case-study/kito-pet-achieves-14x-roi-with-1-day-shopify-integration)
## Reference content
- [Blog](https://replen.it/blog): Replenit's articles on retention, replenishment, and AI in retail.
- [How to Rank in LLMs: The New Visibility Playbook for Retailers](https://replen.it/blog/how-to-rank-in-llms-the-new-visibility-playbook-for-retailers)
- [From Google to GPT: How AI Search Is Shifting Power From Acquisition to Retention](https://replen.it/blog/from-google-to-gpt-how-ai-search-is-shifting-power-from-acquisition-to-retention)
- [AI Decision Engine vs CDP vs Marketing Automation](https://replen.it/blog/ai-decision-engine-vs-cdp-vs-marketing-automation)
- [AI in Retail 101: From AI Transformation to Commercial Impact](https://replen.it/blog/ai-in-retail-101-from-ai-tran
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