# E2open: how AI models rank it, October 2026

Finance AI Recommendation Index, October 2026 Edition. Named in 2 judge labels across 2 categories by 2 of 14 models. Page: https://finance-ai-index.com/vendors/e2open/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Rebate management | 0% | 51 | 0% | 1 |
| Treasury management systems | 0% | 53 | 0% | 1 |

## What the models said for it

- "For a more holistic supply chain solution, e2open or Kinaxis may be better." (Mistral Small, Treasury management syst)

## In its own words

What E2open's own pages state, read 2026-10-06. Stated by the vendor, not checked by the index.

- Positioning: Supply chain software with a connected network and SaaS platform help you seize opportunities, predict disruptions, and drive efficiency and sustainability. (https://e2open.com/)
- For: Businesses (https://e2open.com/)
- Customers named: Jabil, Renault Group, Michelin, Leschaco, GEODIS, Leggett & Platt, Inc., Acer, Avon

## What it publishes

Every page e2open.com exposes, read 2026-09-29: 1329 addresses. By kind, pages and the last 90 days:

- blog: 818 pages, 0 in the last 90 days, latest undated
- case study: 22 pages, 0 in the last 90 days, latest undated
- webinar or virtual event: 2 pages, 0 in the last 90 days, latest undated
- conference or event: 54 pages, 0 in the last 90 days, latest undated
- report or ebook: 4 pages, 0 in the last 90 days, latest 2024-02-20
- comparison: 4 pages, 0 in the last 90 days, latest undated
- template or tool: 3 pages, 0 in the last 90 days, latest undated
- glossary or explainer: 2 pages, 0 in the last 90 days, latest undated
- news or press: 117 pages, 0 in the last 90 days, latest undated
- Recent: 2024-02-20 report or ebook: Analysts us transport better prepared for red sea disruptions https://www.e2open.com/resources/analysts-us-transport-better-prepared-for-red-sea-disruptions

## Record

- Method: https://finance-ai-index.com/methodology/
- Raw judge labels and full responses: https://finance-ai-index.com/data/
- License: CC BY 4.0. Cite as Finance AI Recommendation Index, October 2026 Edition, finance-ai-index.com.