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Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Vue.ai Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Alsaif Gallery Distribution 499 $120M Saudi Arabia Mad Street Den Vue.ai Natural Language Processing 2022 n/a In 2022, Alsaif Gallery deployed Vue.ai on its website to introduce Natural Language Processing capabilities. Vue.ai was embedded into the customer facing e-commerce front end to provide natural language search and product discovery functionality, with implementation oriented around catalog indexing and query understanding to surface relevant SKUs during shopper sessions. The implementation covered configuration of natural language search, query intent classification, and automated product tagging to enrich product metadata across the online catalog. Operational scope focused on e-commerce merchandising and digital customer experience functions, with the digital commerce team operating the integration via vendor APIs and front end components. Governance centered on aligning taxonomy and merchandising workflows with the NLP models, and iterative tuning of query handling based on onsite traffic and relevance signals. Vue.ai supplies the Natural Language Processing layer for Alsaif Gallery website interactions.
Marika Retail 193 $109M United States Mad Street Den Vue.ai Natural Language Processing 2022 n/a In 2022, Marika integrated Vue.ai on its website to improve product discovery and shopper search. Vue.ai is deployed as a Natural Language Processing application to interpret shopper intent and surface relevant SKUs across the public retail site, tying the NLP layer directly to Marika's e-commerce touchpoints. The deployment is implemented as a web-facing integration, using API-driven inference to provide natural language search, query understanding, automated product tagging, category normalization, and recommendation signal generation. Implementation work focused on embedding Vue.ai into site search and category pages, routing front-end queries to the Vue.ai inference stack and returning ranked product results that align with merchandising rules. Operational ownership is defined within Marika's e-commerce and merchandising functions, with catalog management workflows updated to accept automated tagging and NLP-derived attributes. Marika Vue.ai Natural Language Processing e-commerce search integration is governed through continuous monitoring of query parsing and content classification, with phased rollout controls applied across the public website during implementation.
The Body Shop Fajar Complex Retail 10 $2M Malaysia Mad Street Den Vue.ai Natural Language Processing 2022 n/a In 2022, The Body Shop Fajar Complex deployed Vue.ai, a Natural Language Processing application, on its public website. The implementation placed Vue.ai into the retailer's online storefront to provide customer-facing natural language search and product discovery capabilities. Vue.ai was used to parse shopper queries, surface relevance-ranked product results, and power storefront query handling and content rendering. Configuration work centered on taxonomy alignment, query tuning, and catalog-aware relevance settings, with ongoing model tuning and content tagging managed by the retailer's e-commerce operations. The deployment was scoped to the website and integrated directly with the customer-facing search and merchandising layers rather than back-office systems. Governance focused on iterative model adjustments and merchandising workflow updates to align search relevance with product assortment.
Retail 10 $2M Vietnam Mad Street Den Vue.ai Natural Language Processing 2022 n/a
Retail 10 $1M United States Mad Street Den Vue.ai Natural Language Processing 2022 n/a
Showing 1 to 5 of 5 entries

Buyer Intent: Companies Evaluating Vue.ai

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Vue.ai. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Vue.ai for Natural Language Processing include:

  1. Nxrse, a United Kingdom based Professional Services organization with 10 Employees
  2. IPinvestments Group, a United States based Banking and Financial Services company with 10 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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FAQ - APPS RUN THE WORLD Vue.ai Coverage

Vue.ai is a Natural Language Processing solution from Mad Street Den.

Companies worldwide use Vue.ai, from small firms to large enterprises across 21+ industries.

Organizations such as Alsaif Gallery, Marika, The Body Shop Fajar Complex, The Body Shop Vietnam and Wild Fox Fencing are recorded users of Vue.ai for Natural Language Processing.

Companies using Vue.ai are most concentrated in Distribution and Retail, with adoption spanning over 21 industries.

Companies using Vue.ai are most concentrated in Saudi Arabia, United States and Malaysia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Vue.ai across Americas, EMEA, and APAC.

Companies using Vue.ai range from small businesses with 0-100 employees - 60%, to mid-sized firms with 101-1,000 employees - 40%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.

Customers of Vue.ai 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 Vue.ai customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.