List of IgniteTech SLI Systems Product Recommendation Customers
Austin, 78741, TX,
United States
Since 2010, our global team of researchers has been studying IgniteTech SLI Systems Product Recommendation 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 IgniteTech SLI Systems Product Recommendation 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 IgniteTech SLI Systems Product Recommendation for Personalization and Product Recommendations include: Lenovo, a Hong Kong based Manufacturing organisation with 72000 employees and revenues of $69.08 billion, Dollar Tree, a United States based Retail organisation with 65894 employees and revenues of $17.58 billion, Qantas, a Australia based Transportation organisation with 25000 employees and revenues of $14.14 billion, Raia Drogasil Brazil, a Brazil based Retail organisation with 64758 employees and revenues of $7.77 billion, Raia Drogasil, a Brazil based Retail organisation with 50000 employees and revenues of $6.85 billion and many others.
Contact us if you need a completed and verified list of companies using IgniteTech SLI Systems Product Recommendation, 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 IgniteTech SLI Systems Product Recommendation 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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24 Hour Fitness | Leisure and Hospitality | 7500 | $1.5B | United States | IgniteTech | IgniteTech SLI Systems Product Recommendation | Personalization and Product Recommendations | 2016 | n/a |
In 2016, 24 Hour Fitness deployed IgniteTech SLI Systems Product Recommendation on its consumer facing website to introduce targeted onsite recommendations, aligning the implementation with Personalization and Product Recommendations requirements for its online membership and merchandising experience. The deployment centered on surfacing contextual product and content suggestions across site entry points and product pages, using the full IgniteTech SLI Systems Product Recommendation solution to drive relevance and personalized content exposure.
Implementation included configuration of the IgniteTech SLI Systems Product Recommendation engine, catalog ingestion routines, and relevance tuning rules. Standard Personalization and Product Recommendations capabilities were exercised, including contextual recommendation slots, rule based merchandising controls, and behavioral signal ingestion to shape ranking and content prioritization.
Integration work focused on embedding the vendor delivered recommendation components into the public website and invoking the IgniteTech SLI Systems Product Recommendation service via API driven calls to retrieve ranked recommendations. Operational coverage remained on the consumer web channel, with implementation scoped to the website experience and the vendor interface used for model configuration and content mapping.
Governance was structured around marketing and merchandising ownership of relevance rules and content mappings, with configuration and ongoing tuning performed through the vendor console and supported by staged rollouts on site pages. The implementation emphasized iterative relevance tuning and rule management processes to maintain recommendation alignment with promotional calendars and merchandising objectives.
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A & S Motorcycle Parts | Automotive | 45 | $4M | United States | IgniteTech | IgniteTech SLI Systems Product Recommendation | Personalization and Product Recommendations | 2010 | n/a |
In 2010, A & S Motorcycle Parts implemented IgniteTech SLI Systems Product Recommendation on its public e-commerce site. The IgniteTech SLI Systems Product Recommendation deployment acts as a SaaS hosted recommendation layer embedded into the storefront, providing real time product suggestions on product detail pages and category browse experiences. A & S Motorcycle Parts uses IgniteTech SLI Systems Product Recommendation for Personalization and Product Recommendations to support on-site merchandising and product discovery for its United States operations.
Configuration work centered on catalog feed ingestion, recommendation rule configuration, and event tracking to drive collaborative filtering and behavioral personalization, with the vendor console used for tuning relevance and merchandising overrides. Operational ownership sits with merchandising and e-commerce operations, who manage catalog mapping, campaign windows, and feed refresh cadence, while the recommendation layer surfaces into search and browse flows and into product page widgets. Governance emphasized catalog hygiene and feed validation workflows to keep product metadata aligned with recommendation inputs.
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A Place For Everything | Construction and Real Estate | 10 | $1M | United States | IgniteTech | IgniteTech SLI Systems Product Recommendation | Personalization and Product Recommendations | 2009 | n/a |
In 2009, A Place For Everything implemented IgniteTech SLI Systems Product Recommendation on its public website. The deployment embeds IgniteTech SLI Systems Product Recommendation to deliver algorithmic product suggestions and contextual onsite recommendations across product and category pages, addressing product discovery for the company’s online catalog in the Construction and Real Estate sector.
A Place For Everything uses IgniteTech SLI Systems Product Recommendation in the Personalization and Product Recommendations category to power onsite merchandising, related-item carousels, and personalized product lists that support marketing and merchandising workflows. Functional components consistent with this implementation include product feed ingestion, model-driven recommendation logic, client-side recommendation widgets, and an administrative console for campaign and rule configuration, with governance focused on catalog feed management and merchandising workflow for a small team and a website-first rollout.
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Retail | 1750 | $375M | United States | IgniteTech | IgniteTech SLI Systems Product Recommendation | Personalization and Product Recommendations | 2017 | n/a |
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Retail | 150 | $130M | Australia | IgniteTech | IgniteTech SLI Systems Product Recommendation | Personalization and Product Recommendations | 2011 | n/a |
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Retail | 25 | $19M | United States | IgniteTech | IgniteTech SLI Systems Product Recommendation | Personalization and Product Recommendations | 2018 | n/a |
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Professional Services | 100 | $15M | United States | IgniteTech | IgniteTech SLI Systems Product Recommendation | Personalization and Product Recommendations | 2015 | n/a |
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Manufacturing | 30 | $3M | United States | IgniteTech | IgniteTech SLI Systems Product Recommendation | Personalization and Product Recommendations | 2015 | n/a |
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Professional Services | 10 | $36M | United Kingdom | IgniteTech | IgniteTech SLI Systems Product Recommendation | Personalization and Product Recommendations | 2013 | n/a |
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Retail | 25 | $3M | United States | IgniteTech | IgniteTech SLI Systems Product Recommendation | Personalization and Product Recommendations | 2011 | n/a |
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Buyer Intent: Companies Evaluating IgniteTech SLI Systems Product Recommendation
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