# Auction OMS

- **Website:** <https://auctionoms.com>
- **Primary alias:** `auctionoms.com`

## Description

Auction OMS Ltd develops Auction OMS, an AI-powered auction management system designed to bring key auction workflows together in one command centre. The platform supports AI-assisted listing creation, helping users prepare auction listings with the aid of artificial intelligence. It also includes connected client management and tools for instant post-auction reconciliation, offering a joined-up workflow from listing preparation through client coordination and after-sale administration.

Auction OMS is described as fully built, while its public release is being staged as the company privately onboards partners. Auction businesses or prospective partners can contact the team to arrange a walkthrough or discuss rollout timing. This approach gives interested organisations an opportunity to learn about the system and align on a potential introduction before broader public availability. Through its combination of listing assistance, client management, and reconciliation capabilities, Auction OMS aims to centralise auction operations in a single system. The company’s current focus is on partner onboarding and coordinating access to the platform as it prepares for public release.

## Industries

- 🛍 E-commerce and Shopping
- 🛍 Auctions _(under E-commerce and Shopping)_
- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idB1EaXNX7/w/512/h/512/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1790417754305)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| River Bed | #485665 | accent |
| Black Pearl | #020617 | dark |
| Gallery | #ededed | light |

## Fonts

- var(--font-geist-sans) — asset _(custom)_
- var(--font-geist-sans) — asset _(custom)_

---

_Source: <https://brandfetch.com/auctionoms.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._