Manhattan Active Omni
Why models recommend it
“ML-powered fulfillment optimization; highest analyst ratings (Forrester Wave Leader) ... fastest to deploy, easiest to scale”Kimi K2 · Comparative question · first choice
“For complex store-based retail, start with Manhattan, Blue Yonder, IBM, Fluent, and Kibo.”GPT-6 Luna · Comparative question · first choice
“Manhattan Active Omni or IBM Sterling are the standard bearers for efficiency”Qwen 3.7 Flash · Comparative question · first choice
“Need distributed, store/DC orchestration at scale: Manhattan ActiveOrder / Fluent Commerce / IBM Sterling.”Muse Glimmer 30B · Direct question · alternative
What gives them pause
No model argued against it.
Also on the shortlist
The products named in the same answers as Manhattan Active Omni, over the 27 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 21 | 2 | View → | |
| 18 | 1 | View → | |
| 16 | 0 | View → | |
| 12 | 1 | View → | |
| 10 | 0 | View → | |
| 9 | 2 | View → | |
| 7 | 2 | View → | |
| 7 | 0 | View → | |
| 6 | 1 | View → | |
| 5 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 27 of the 27 answers that named Manhattan Active Omni and are not a share of its labels.
Domains cited
No domain is on file for Manhattan Active Omni, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 0 | 1 |
| Kimi K2 | 1 | 0 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 1 | 0 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |