AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Boutiq Customers

loading spinner icon

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Alembika USA Retail 30 $3M United States Caazam Boutiq Personalization and Product Recommendations 2023 n/a
In 2023 Alembika USA implemented Boutiq for Personalization and Product Recommendations on its public ecommerce website. Boutiq was deployed to deliver onsite personalization and product discovery capabilities for the retail brand's online storefront. Configuration emphasized standard Personalization and Product Recommendations functionality, including dynamic product recommendation widgets, category and product detail cross sell, and storefront content targeting. Boutiq was provisioned with an administrative console for rule based merchandising and model tuning to prioritize assortments and curated recommendations. Deployment integrated Boutiq directly with the Alembika website and a product catalog feed to populate recommendation logic and render suggestions in real time on homepage, category and product pages. Integrations were scoped to the ecommerce storefront and catalog synchronization, reflecting a site focused implementation rather than broader back office connectivity. Operational ownership was assigned to the ecommerce and merchandising teams who manage recommendation rules, content curation and catalog updates through the Boutiq console. The rollout followed an iterative, site focused cadence sized to a 30 employee retail organization, with ongoing monitoring and tuning workflows typical for Personalization and Product Recommendations implementations.
Alexis Bittar Retail 10 $1M United States Caazam Boutiq Personalization and Product Recommendations 2021 n/a
In 2021, Alexis Bittar deployed Boutiq on its ecommerce site as a Personalization and Product Recommendations solution. The initial deployment targeted onsite product discovery and merchandising across the public web storefront. Boutiq was integrated client side, embedding recommendation widgets into product detail pages, category pages, and cart interfaces, while leveraging a cloud hosted personalization engine to deliver algorithmic suggestions. Configuration emphasized core recommendation modules, personalized browse and cart recommendations, and merchandising controls for manual pinning and rule based boosts, sized for a small retailer environment. The implementation synchronizes with onsite product data to keep recommendation pools and inventory context aligned with the storefront. Operational coverage focused on web merchandising and marketing workflows managed by the retailer's ecommerce team, with rollout scoped to the company website. Governance centered on editorial controls and adjusted merchandising workflows to support ongoing tuning of recommendation rules and personalization logic. The deployment references Boutiq by name and positions Boutiq as the primary system for orchestrating onsite product discovery and personalization on the Alexis Bittar website.
Alohas Sandals Manufacturing 100 $10M Spain Caazam Boutiq Personalization and Product Recommendations 2022 n/a
In 2022, Alohas Sandals deployed Boutiq on its public website to enable personalized product discovery and onsite recommendations. The implementation positions Boutiq as a front-end personalization layer for the e-commerce storefront, delivering product-level recommendations, catalog ranking and visitor segmentation consistent with the Personalization and Product Recommendations category. Boutiq is configured to support merchandising and marketing workflows, with recommendation templates, rule-based merchandising and experimentation controls operated by the e-commerce and marketing teams in Spain. The deployment ingests on-site behavioral signals and session data to drive real-time recommendation decisions, and includes analytics and reporting within Boutiq to surface performance and diagnostic insights. Governance emphasizes marketing-led content rules and merchandising oversight, with operational responsibilities for tuning recommendation strategies and managing A/B tests owned by the internal e-commerce function.
Graydon Skincare Retail 15 $1M Canada Caazam Boutiq Personalization and Product Recommendations 2022 n/a
In 2022 Graydon Skincare deployed Boutiq from Caazam for Personalization and Product Recommendations on its public e-commerce website. Boutiq was embedded to deliver on-site, context aware product recommendations and merchandising experiences across product detail pages and category browsing flows. The implementation of Boutiq focused on standard Personalization and Product Recommendations capabilities, including real time recommendation ranking, contextual cross sell and up sell logic, and configurable merchandising rules to surface prioritized SKUs. Configuration work centered on catalog mapping, recommendation placement within storefront templates, and rule sets to align recommendations with promotional and inventory considerations. Operational coverage targeted Graydon Skincare's online storefront and associated merchandising and marketing workflows, reflecting the needs of a 15 person retail organization. Governance and change processes were structured for a small team environment, with centralized control of recommendation rules and iterative tuning of personalization logic carried out through the Boutiq interface.
Gymreapers Retail 80 $8M United States Caazam Boutiq Personalization and Product Recommendations 2023 n/a
In 2023 Gymreapers deployed Boutiq on its ecommerce website to provide site-level personalization and product discovery, leveraging functionality aligned with the Personalization and Product Recommendations category. The implementation focuses on on-site recommendation workflows to support merchandising and direct-to-consumer commerce for the United States market and front-end storefront experiences. Configuration work centered on Boutiq recommendation widgets and catalog ingestion, with standard category-aligned modules configured for product-to-product recommendations, personalized browse and search ranking, and rules-based merchandising controls. Gymreapers configured behavioral signal capture and session-level profiling to inform recommendation algorithms, and activated UI components on product detail pages, category pages, and the shopping cart to surface cross-sell and upsell suggestions. Integration was executed against the company website using client-side Boutiq scripts and a product feed from Gymreapers catalog data, enabling real-time recommendations tied to inventory and SKU attributes. Event tracking was aligned with existing site analytics to capture clicks, add-to-cart events, and conversion signals, supporting continuous tuning of recommendation models without replacing or referencing any prior named system. Governance established merchandising and marketing workflows to manage recommendation rules, creative variants, and staged rollouts across page templates, with access controls for merchandising users. Boutiq was positioned to support ongoing iterative configuration by Gymreapers merchandising and e-commerce teams, linking application-level personalization to operational processes for content and offer management.
Construction and Real Estate 5 $1M Canada Caazam Boutiq Personalization and Product Recommendations 2022 n/a
Manufacturing 30 $3M Canada Caazam Boutiq Personalization and Product Recommendations 2022 n/a
Retail 25 $3M United States Caazam Boutiq Personalization and Product Recommendations 2022 n/a
Showing 1 to 8 of 8 entries

Buyer Intent: Companies Evaluating Boutiq

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Boutiq. Gain ongoing access to real-time prospects and uncover hidden opportunities.

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD Boutiq Coverage

Boutiq is a Personalization and Product Recommendations solution from Caazam.

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

Organizations such as Alohas Sandals, Gymreapers, Piccolino, Alembika USA and NutraChamps are recorded users of Boutiq for Personalization and Product Recommendations.

Companies using Boutiq are most concentrated in Manufacturing and Retail, with adoption spanning over 21 industries.

Companies using Boutiq are most concentrated in Spain, United States and Canada, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Boutiq across Americas, EMEA, and APAC.

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

Customers of Boutiq 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 Boutiq 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.