AI Buyer Insights:

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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Relewise Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Bad og Fliser Retail 20 $2M Denmark Relewise Relewise Personalization and Product Recommendations 2024 n/a In 2024 Bad og Fliser implemented Relewise on its public website. Relewise is a Personalization and Product Recommendations application deployed to support onsite product discovery for the Denmark based retail site badogfliser.dk. The implementation is focused on the e-commerce storefront and is intended to surface contextually relevant products within product listing and product detail pages. Configuration emphasizes core Relewise capabilities for behavioral event capture, recommendation orchestration, and catalog-driven relevance rules. The deployment is realized through embedded recommendation widgets and client side event collection feeding Relewise’s recommendation engine, with catalog synchronization to align product metadata and pricing for accurate suggestions. Operational ownership sits with the e-commerce and merchandising functions, with governance processes around rule configuration, relevance tuning, and catalog refresh workflows to sustain ongoing personalization on the site.
Dragon Shield Leisure and Hospitality 20 $2M Denmark Relewise Relewise Personalization and Product Recommendations 2023 n/a In 2023, Dragon Shield deployed Relewise as its personalization engine on its public e-commerce site, implementing a solution categorized under Personalization and Product Recommendations. The implementation is focused on delivering product recommendations and on-site personalization across product detail pages and category browsing, with Relewise referenced explicitly as the application in use on the website. The implementation uses Relewise to surface contextually relevant product recommendations, combining catalog ingestion and behavioral signals from web sessions to drive recommendation models and merchandising rules. Configuration work centered on recommendation types such as related items and personalized product lists, front-end instrumentation to render recommendations on site pages, and administrative controls for tuning and rule-based overrides. Operational ownership is concentrated in the small e-commerce and marketing teams, with Relewise integrated directly into the Dragon Shield website for real-time personalization and catalog-driven recommendations. Governance practices emphasize catalog feed quality, tagging and taxonomy alignment, and session data capture to support segmentation and recommendation workflows, with staged rollout and tuning aligned to the companys product merchandising processes.
Frastfoods Retail 50 $5M Norway Relewise Relewise Personalization and Product Recommendations 2023 n/a In 2023, Frastfoods implemented Relewise on their website. Relewise is deployed as a Personalization and Product Recommendations solution to deliver on-site product discovery and contextual recommendation experiences for the retailer. The implementation focused on embedding Relewise recommendation capabilities into storefront page templates and ingesting the product catalog alongside behavioral event signals to generate session-aware product ranking and contextual suggestions. Configuration work included recommendation widgets for category pages product detail pages and cart-level suggestions, plus relevance tuning and merchandising rule controls to enable targeted promotions and assortment prioritization. Operational coverage is the e-commerce website and the effort primarily impacts online merchandising marketing and customer experience functions, with governance managed through centralized configuration and iterative tuning workflows rather than extensive process reengineering.
Manufacturing 2500 $501M Denmark Relewise Relewise Personalization and Product Recommendations 2023 n/a
Retail 10 $1M Norway Relewise Relewise Personalization and Product Recommendations 2025 n/a
Retail 40 $23M Norway Relewise Relewise Personalization and Product Recommendations 2026 n/a
Life Sciences 166 $37M Denmark Relewise Relewise Personalization and Product Recommendations 2025 n/a
Retail 120 $35M Denmark Relewise Relewise Personalization and Product Recommendations 2025 n/a
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