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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

List of ArtifiLabs Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Barco Products Life Sciences 40 $5M United States ArtifiLabs ArtifiLabs Personalization and Product Recommendations 2018 n/a
In 2018 Barco Products implemented ArtifiLabs on its website in the "" category. The implementation used ArtifiLabs as a web integration, embedding client side code and leveraging server side API calls to surface features directly within public pages. Barco Products ArtifiLabs "" business function targeted website customer engagement and content orchestration delivered through the corporate site. Operational ownership rested with marketing and IT teams at the 40 employee company, with configuration focused on embedding the ArtifiLabs snippet across product and informational pages. Governance emphasized change control for site code, versioning of the ArtifiLabs integration, and lightweight operational processes to manage configuration and updates. The deployment pattern aligned with a small company approach to web application integrations, using modular frontend embedding and backend API calls to limit integration complexity.
DiscountRubberStamps.com Distribution 10 $1M United States ArtifiLabs ArtifiLabs Personalization and Product Recommendations 2018 n/a
In 2018 DiscountRubberStamps.com deployed ArtifiLabs on its customer facing website. ArtifiLabs was embedded in the storefront to deliver website level automation and content workflows tied to the online ordering experience. Deployment used a client side integration model with ArtifiLabs scripts loaded into the storefront, and configuration focused on product display, form handling, and front end personalization modules to support online retail and marketing functions. Operational scope covered the company's single United States online retail site and was managed by the internal operations and marketing team, with governance centered on configuration control within the site codebase. Apps Category:
FineStationery.com Retail 10 $1M United States ArtifiLabs ArtifiLabs Personalization and Product Recommendations 2018 n/a
In 2018, FineStationery.com implemented ArtifiLabs on their website. The deployment integrated ArtifiLabs as the Apps Category solution within the customer-facing storefront to provide embedded site functionality and interactive content. Implementation focused on a site-embedded architecture, delivering ArtifiLabs code and configuration directly into storefront pages and promotional placements, with runtime behavior controlled through the application configuration surfaced in the web layer. Operational scope was limited to the company website and the retailer's e-commerce and marketing functions, with configuration and content changes managed by the internal small team. Governance centered on web content and configuration workflows to control where ArtifiLabs features appeared on product and promotional pages, and rollout was executed through staged updates to the live storefront to minimize customer disruption.
Hoffmaster Manufacturing 1000 $550M United States ArtifiLabs ArtifiLabs Personalization and Product Recommendations 2021 n/a
In 2021 Hoffmaster implemented ArtifiLabs on their website, deploying ArtifiLabs as a Personalization and Product Recommendations solution for on-site merchandising and product discovery. The implementation is focused on delivering contextual product recommendations and personalized product surfaces within Hoffmaster's e-commerce experience. The deployment leverages standard category capabilities including a recommendation engine, personalization rules and merchandising controls, front-end recommendation widgets, and real-time behavioral inference to tailor product suggestions. Configuration work centered on mapping Hoffmaster product catalog attributes, defining merchandising rules, and tuning recommendation models to align with product discovery workflows. Operationally the ArtifiLabs implementation is integrated with Hoffmaster's website front-end and product catalog, feeding on browsing and cart signals to drive recommendations, and supporting e-commerce and marketing teams responsible for content and rule management. Governance emphasis is on operationalizing merchandising workflows and handoffs between marketing and site operations to manage recommendation rules and personalization campaigns.
International E-Z Up Manufacturing 45 $4M United States ArtifiLabs ArtifiLabs Personalization and Product Recommendations 2017 n/a
In 2017, International E-Z Up implemented ArtifiLabs, deploying ArtifiLabs as a Personalization and Product Recommendations application on its public e-commerce website. The implementation focused on on-site product discovery and merchandising to support the companys direct-to-consumer commerce channel, impacting e-commerce, marketing, and product merchandising workflows. ArtifiLabs was configured to deliver session-based and behavioral product recommendations, catalog-driven recommendation widgets, and rule-based merchandising controls. Configuration work included targeting based on browsing signals, product attributes and category context, along with analytics instrumentation for experiment control and tuning of recommendation models. The deployment used a front-end website integration model, embedding ArtifiLabs recommendation components into product detail pages, category pages and cart experiences for the United States site. Governance centered on marketing and e-commerce teams owning personalization rule sets and iterative tuning processes, with operational responsibilities assigned to merchandising and content teams to align recommendations with product assortments and promotional plans.
Manufacturing 24 $3M United States ArtifiLabs ArtifiLabs Personalization and Product Recommendations 2019 n/a
Professional Services 10 $2M United States ArtifiLabs ArtifiLabs Personalization and Product Recommendations 2017 n/a
Retail 10 $1M Canada ArtifiLabs ArtifiLabs Personalization and Product Recommendations 2019 n/a
Manufacturing 100 $12M United States ArtifiLabs ArtifiLabs Personalization and Product Recommendations 2021 n/a
Distribution 45 $5M Canada ArtifiLabs ArtifiLabs Personalization and Product Recommendations 2019 n/a
Showing 1 to 10 of 11 entries

Buyer Intent: Companies Evaluating ArtifiLabs

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FAQ - APPS RUN THE WORLD ArtifiLabs Coverage

ArtifiLabs is a Personalization and Product Recommendations solution from ArtifiLabs.

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

Organizations such as Hoffmaster, Wristband Resources, Schwaab, Barco Products and Seroyal International are recorded users of ArtifiLabs for Personalization and Product Recommendations.

Companies using ArtifiLabs are most concentrated in Manufacturing, Life Sciences and Distribution, with adoption spanning over 21 industries.

Companies using ArtifiLabs are most concentrated in United States and Canada, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of ArtifiLabs across Americas, EMEA, and APAC.

Companies using ArtifiLabs range from small businesses with 0-100 employees - 81.82%, to mid-sized firms with 101-1,000 employees - 18.18%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.

Customers of ArtifiLabs 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 ArtifiLabs customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Personalization and Product Recommendations.