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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

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List of Acolad Platform Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Bugaboo International Retail 1300 $303M Netherlands Acolad Acolad Platform Natural Language Processing 2020 n/a
In 2020, Bugaboo International implemented Acolad Platform in the Translation and Localization category to scale localization of marketing, product and packaging content across 24 language combinations. The implementation integrated Acolad's neural machine translation and API connectivity directly into Bugaboo's content management system. The Acolad Platform deployment combined neural MT engines, API based CMS connectors, automated content extraction and delivery workflows, and a post editing workflow for human quality assurance. Configuration emphasized language pair profiles for 24 language combinations and rules based routing to post editors, enabling centralized translation asset management and reuse. Operational coverage included marketing, product and packaging functions, freeing internal staff from manual translation tasks and simplifying vendor management through platform based vendor orchestration. Governance centered on workflow orchestration and embedded validation checkpoints inside Acolad Platform, and the case reports productivity gains and cost savings achieved through post editing while reducing time to market.
Candriam Belgium Banking and Financial Services 300 $50M Belgium Acolad Acolad Platform Natural Language Processing 2019 n/a
In 2019, Candriam Belgium deployed the Acolad Platform as a centralized Localization Portal to consolidate translation requests for marketing and financial content across Europe. The deployment positioned the Acolad Platform and an Acolad Portal front end as the central hub for intake, project tracking, and reuse of translation memory, enabling a single point of control for multilingual content flows. Implementation centered on a portal architecture that standardized request submission, automated project orchestration, and enforced translation memory reuse. Functional modules included the Acolad Portal for request intake and status tracking and Acolad Platform services for translation memory management and project throughput, configured to prioritize marketing and financial content workflows. Operational scope covered Candriam Belgium and content destined for European markets, with the portal supporting centralized intake across marketing and investor relations or financial reporting functions. Integrations and named systems were not specified, the implementation used the portal as the primary operational interface to consolidate external language resources and vendor assignments. Governance focused on formalizing request triage, translation memory reuse rules, and centralized project coordination to increase throughput and reduce duplicate work. Outcomes stated in the case material included a five times increase in projects processed annually and approximately 10 percent cost savings attributable to translation memory reuse, while improving consistency for marketing and financial communications.
Hitachi Energy Manufacturing 50000 $16.0B Switzerland Acolad Acolad Platform Natural Language Processing 2020 n/a
In 2020, Hitachi Energy deployed the Acolad Platform to centralize translation workflows for its global manufacturing operations and to handle large volumes of technical and operational content. The Acolad Platform Apps Category served as a one stop translation portal that consolidated intake, assignment and delivery workflows across regions, improving oversight and speed. The implementation configured core modules including single sign on authentication, a translation memory repository, and secure workflow orchestration for translator review and approval. The Acolad Platform included automated job intake and routing, versioned translation memory reuse, and role based access controls to protect sensitive technical documentation. Integration work focused on an Ariba connector to link procurement and vendor assignment into the translation request lifecycle, enabling tighter coordination between content owners and language providers. Operational coverage was global, spanning technical documentation and operational content streams, with the platform used by regional content teams and centralized localization coordinators. Governance centered on centralized intake, standardized request templates and secure workflows to improve spend visibility and translation reuse. Outcomes described in the case include faster turnaround, higher reuse of translations and improved visibility into translation spend, achieved through the Acolad Platform and the implemented controls.
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FAQ - APPS RUN THE WORLD Acolad Platform Coverage

Acolad Platform is a Natural Language Processing solution from Acolad.

Companies worldwide use Acolad Platform, from small firms to large enterprises across 21+ industries.

Organizations such as Hitachi Energy, Bugaboo International and Candriam Belgium are recorded users of Acolad Platform for Natural Language Processing.

Companies using Acolad Platform are most concentrated in Manufacturing, Retail and Banking and Financial Services, with adoption spanning over 21 industries.

Companies using Acolad Platform are most concentrated in Switzerland, Netherlands and Belgium, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Acolad Platform across Americas, EMEA, and APAC.

Companies using Acolad Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 33.33%.

Customers of Acolad Platform include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Acolad Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.