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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

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

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Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of IgniteTech SLI Systems Product Recommendation Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Retail 1750 $375M United States IgniteTech IgniteTech SLI Systems Product Recommendation Personalization and Product Recommendations 2017 n/a
Retail 150 $130M Australia IgniteTech IgniteTech SLI Systems Product Recommendation Personalization and Product Recommendations 2011 n/a
Retail 25 $19M United States IgniteTech IgniteTech SLI Systems Product Recommendation Personalization and Product Recommendations 2018 n/a
Professional Services 100 $15M United States IgniteTech IgniteTech SLI Systems Product Recommendation Personalization and Product Recommendations 2015 n/a
Manufacturing 30 $3M United States IgniteTech IgniteTech SLI Systems Product Recommendation Personalization and Product Recommendations 2015 n/a
Professional Services 10 $36M United Kingdom IgniteTech IgniteTech SLI Systems Product Recommendation Personalization and Product Recommendations 2013 n/a
Retail 25 $3M United States IgniteTech IgniteTech SLI Systems Product Recommendation Personalization and Product Recommendations 2011 n/a
Showing 1 to 10 of 153 entries

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FAQ - APPS RUN THE WORLD IgniteTech SLI Systems Product Recommendation Coverage

IgniteTech SLI Systems Product Recommendation is a Personalization and Product Recommendations solution from IgniteTech.

Companies worldwide use IgniteTech SLI Systems Product Recommendation, from small firms to large enterprises across 21+ industries.

Organizations such as Lenovo, Dollar Tree, Qantas, Raia Drogasil Brazil and Raia Drogasil are recorded users of IgniteTech SLI Systems Product Recommendation for Personalization and Product Recommendations.

Companies using IgniteTech SLI Systems Product Recommendation are most concentrated in Manufacturing, Retail and Transportation, with adoption spanning over 21 industries.

Companies using IgniteTech SLI Systems Product Recommendation are most concentrated in Hong Kong, United States and Australia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IgniteTech SLI Systems Product Recommendation across Americas, EMEA, and APAC.

Companies using IgniteTech SLI Systems Product Recommendation range from small businesses with 0-100 employees - 50.33%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 11.76%, and global enterprises with 10,000+ employees - 4.58%.

Customers of IgniteTech SLI Systems Product Recommendation 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 IgniteTech SLI Systems Product Recommendation 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.