AI Buyer Insights:

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Ably Data, Technology Stack, and Enterprise Applications
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Workspace (Formerly Google G-Suite) Collaboration Collaboration n/a 2017 2017
Collaboration Collaboration 2022 2022
eCommerce
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Omnious Legacy Omnious Discovery AI Personalization and Product Recommendations eCommerce n/a 2021 2021
In 2021, Ably deployed Omnious Discovery AI on its ecommerce and shopping app. Omnious Discovery AI in the Personalization and Product Recommendations category was configured to automate attribute tagging of approximately 800,000 images and to deliver hyper-personalized visual product recommendations across the storefront. The implementation centered on two functional capabilities, automated visual product tagging and a visual recommendation engine. The automated tagging pipeline extracted product attributes and mapped images into Ably's merchandising taxonomy, enabling downstream use by search, browse and filter components. The visual recommendation capability served image-driven, similarity and context aware product recommendations in the app, using model inference hosted alongside Omnious Discovery AI model artifacts. Operational coverage included Ably's ecommerce and shopping app catalog and merchandising workflows, with ongoing tag curation and a feedback loop to refine attribute accuracy. Omnious Discovery AI has been linked by vendor case material to a U.S. retail fashion implementation that improved search and filter accuracy and increased purchase rate and customer session time, indicating comparable category level outcomes for visual recommendation and automated tagging deployments.
Personalization and Product Recommendations eCommerce 2018 2018
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Oracle Legacy Oracle BlueKai Data Management Platform CRM n/a 2017 2017
Digital Advertising Platform CRM 2017 2017
Digital Advertising Platform CRM 2017 2017
Digital Advertising Platform CRM 2017 2017
Marketing Analytics CRM 2017 2017
Marketing Analytics CRM 2017 2017
Tag Management CRM 2017 2017
Tag Management CRM 2017 2017
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Performance Management ITSM 2018 2018
Application Performance Management ITSM 2020 2020
IT Service Management ITSM 2024 2024
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2017 2017
Application Hosting and Computing Services IaaS 2020 2020
Cloud Storage IaaS 2020 2020
Content Delivery Network IaaS 2017 2017
Content Delivery Network IaaS 2017 2017
Content Delivery Network IaaS 2023 2023
Content Delivery Network IaaS 2023 2023
Domain Name System (DNS) IaaS 2017 2017
Domain Name System (DNS) IaaS 2023 2023
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Identity and Access Management (IAM) CyberSecurity 2023 2023
Secure Sockets Layer (SSL) CyberSecurity 2019 2019
IT Decision Makers and Key Stakeholders at Ably
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by Ably Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD Ably Technographics

Ably is a Retail organization based in South Korea, with around 306 employees and annual revenues of $257.0 million.

Ably operates a diverse technology stack with applications such as Google Workspace (Formerly Google G-Suite), Omnious Discovery AI and Oracle BlueKai, covering areas like Collaboration, Personalization and Product Recommendations and Data Management Platform.

Ably has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Google, Omnious and Oracle.

Ably recently adopted applications including Atlassian Jira Service Desk in 2024, Amazon CloudFront in 2023 and Cloudflare CDN in 2023, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Ably’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Ably’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete Ably technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.