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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

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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

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

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

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

List of Prefixbox AI Search Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Bauhaus Czech Republic Retail 1200 $66M Czech Republic Prefixbox Prefixbox AI Search Natural Language Processing 2023 n/a In 2023, Bauhaus Czech Republic implemented Prefixbox AI Search on its Czech ecommerce site. The Natural Language Processing application Prefixbox AI Search was deployed as the retailer's primary onsite search and product discovery layer for the Czech market, with a focus on improving search relevance and user experience. The implementation delivered Prefixbox's full Search Suite, including Autocomplete, Search Engine, Related Keywords, Related Products, and Related Categories, configured to surface relevance tuned results and related merchandising signals. Configuration work aligned query understanding and ranking rules to the ecommerce catalog taxonomy and SKU mapping, leveraging standard Natural Language Processing workflows for relevance tuning and query expansion. A September to October 2023 A/B test ran against the Bauhaus Czech Republic ecommerce site to validate the deployment, reporting a 17.4 percent increase in revenue, a 44 percent increase in cart events via search, and a 24.7 percent drop in zero result searches in the Czech market. Search and merchandising teams governed the experiment by adjusting relevance rules and product linking during the test window to control UX and result quality.
Praktiker Hungary Retail 1500 $228M Hungary Prefixbox Prefixbox AI Search Natural Language Processing 2024 n/a In 2024, Praktiker Hungary conducted an A/B test deploying Prefixbox AI Search, classified as Natural Language Processing, on its Hungarian e-commerce site to improve product discovery and reduce zero-result searches. The experiment routed a portion of live traffic to Prefixbox AI Search while a control cohort used the site existing search, enabling direct measurement of commercial and behavioral impacts. The implementation leveraged Prefixbox AI Search as a hybrid vector plus keyword search engine, combining semantic vector embeddings with lexical keyword matching to surface relevant SKUs and reduce no-result queries. Functional capabilities implemented included semantic query understanding, hybrid ranking that blended vector similarity and keyword relevance, and search relevancy tuning suited to Hungarian language queries. Instrumentation for A/B testing and analytics was used to capture conversion and order value signals. The test group using Prefixbox AI Search produced a 25.7% revenue uplift and a 25.4% increase in average order value versus the control group in Hungary. The deployment targeted the online commerce channel and informed e-commerce merchandising and revenue operations through controlled experiment governance and measured cohort analysis. Prefixbox AI Search and the Natural Language Processing approach provided evidence to guide further rollout decisions within Praktiker Hungary.
Rossmann Hungary Retail 1291 $400M Hungary Prefixbox Prefixbox AI Search Natural Language Processing 2024 n/a In 2024 Rossmann Hungary executed an early 2024 A/B test leveraging Prefixbox's AI Recommend capability together with the Prefixbox AI Search offering to improve on-site recommendations. The implementation focused on Natural Language Processing driven recommendation logic deployed on category pages, product pages and checkout pages, scoped to Rossmann Hungary's e-commerce site. The deployment implemented personalized recommendations and complementary recommendation modules to drive basket composition and conversion, with the A/B test structured into control and treatment cohorts on-site. Operational coverage included merchandising and e-commerce checkout flows in Hungary, and the rollout used the A/B experiment as the governance mechanism for staged validation. The test produced explicit outcomes for the treatment group in Hungary, including a 3.5x increase in revenue, 2.5x more transactions and approximately 30% higher average order value.
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