List of Systema AI Customers
Melbourne,, 3000, VIC,
Australia
Since 2010, our global team of researchers has been studying Systema AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Systema AI for Personalization and Product Recommendations from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Systema AI for Personalization and Product Recommendations include: Michael Hill Australia, a Australia based Retail organisation with 2500 employees and revenues of $420.0 million, Fantastic Holdings, a Australia based Retail organisation with 1000 employees and revenues of $250.0 million, Elemis, a United Kingdom based Retail organisation with 650 employees and revenues of $172.0 million, Schots Home Emporium, a Australia based Retail organisation with 50 employees and revenues of $5.0 million, Ciele Athletics, a Canada based Retail organisation with 50 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using Systema AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Systema AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Ciele Athletics | Retail | 50 | $5M | Canada | Systema AI | Systema AI | Personalization and Product Recommendations | 2023 | n/a |
In 2023, Ciele Athletics implemented Systema AI for Personalization and Product Recommendations on its website. The initial implementation focused on embedding on-site product recommendations and personalized browsing experiences within the ecommerce storefront to support merchandising and customer engagement workflows.
Systema AI was configured to ingest the site product catalog and behavioral event stream, delivering a recommendation engine, real-time personalization, and rule-based merchandising controls. Configuration work included model training on clickstream and conversion events, business rule configuration for promotional priorities, and front-end recommendation widgets placed on product detail and category pages.
Integration architecture used client-side JavaScript snippets combined with API-driven product feeds to synchronize SKUs and capture behavioral events for model inference. Operational coverage is concentrated on the website and the ecommerce function, with daily operations managed by merchandising and marketing teams and data collection feeding Systema AI models.
Governance established a staged rollout with targeted audience segments and A/B testing to validate rule sets, change control for recommendation configurations, and scheduled model retraining maintained by commerce and marketing stakeholders. This deployment links Ciele Athletics, Systema AI, Personalization and Product Recommendations, and the ecommerce and marketing business functions.
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Elemis | Retail | 650 | $172M | United Kingdom | Systema AI | Systema AI | Personalization and Product Recommendations | 2022 | n/a |
In 2022, Elemis implemented Systema AI on its public website as a Personalization and Product Recommendations solution for e-commerce personalization and product merchandising. The deployment centers on on-site, web-delivered personalization, with Systema AI instrumenting the storefront to deliver individualized product suggestions and contextual content to shoppers.
Systema AI was configured to operate as a real-time recommendation and personalization engine, using catalog-aware recommendation models, session-based suggestion logic, and rule-driven merchandising controls common to Personalization and Product Recommendations platforms. Implementation work emphasized catalog ingestion, product taxonomy alignment, and profile-based segmentation to support product affinity and cross-sell recommendation capabilities.
Operational coverage is focused on the Elemis e-commerce site and associated merchandising and marketing workflows, with Systema AI serving as the personalization layer that informs product listing pages, product detail pages, and on-site promotional slots. The integration surface is web-centric, embedding inference and decisioning into the front-end experience while aligning with the retail product catalog and merchandising processes.
Governance and rollout were structured around editorial and merchandising control, establishing personalization governance for recommendation rules, content prioritization, and experimentation cadence. Changes included new workflows for marketing and merchandising teams to review and tune recommendation logic, and phased activation across page types to manage operational risk and content consistency.
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Fantastic Holdings | Retail | 1000 | $250M | Australia | Systema AI | Systema AI | Personalization and Product Recommendations | 2021 | n/a |
In 2021, Fantastic Holdings deployed Systema AI on its public ecommerce site to provide Personalization and Product Recommendations. The implementation targeted Fantastic Holdings website merchandising and onsite product discovery for the Australia-based retailer with roughly 1000 employees and AUD 250000000 in revenue, establishing Systema AI as the front-line Personalization and Product Recommendations layer for online shoppers.
The deployment combined a lightweight client-side script for real-time content personalization with an API-driven recommendation engine, supporting product feed ingestion, session and user profiling, category-level recommendation logic, and experimental A/B workflows. Operational ownership was defined for ecommerce merchandising and digital marketing teams, with governance focused on model versioning, control lists, and progressive rollouts by site section, and integrations limited to the storefront product catalog and website analytics instrumentation to drive targeted onsite merchandising and recommendation workflows.
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Retail | 51 | $5M | Australia | Systema AI | Systema AI | Personalization and Product Recommendations | 2025 | n/a |
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Retail | 2500 | $420M | Australia | Systema AI | Systema AI | Personalization and Product Recommendations | 2020 | n/a |
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Retail | 50 | $5M | Australia | Systema AI | Systema AI | Personalization and Product Recommendations | 2020 | n/a |
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Buyer Intent: Companies Evaluating Systema AI
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