AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of Little Besides Me Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
a cup of dee Retail 10 $2M Singapore Little Besides Me Little Besides Me Personalization and Product Recommendations 2022 n/a
In 2022, a cup of dee implemented Little Besides Me on its public website. Little Besides Me delivers Personalization and Product Recommendations to present dynamic product suggestions, prioritized merchandising placements, and context aware upsell and cross sell recommendations across category and product pages. The deployment emphasis focused on supporting ecommerce merchandising and marketing use cases for a small retailer. Deployment uses a lightweight client side embed within the storefront, paired with vendor hosted recommendation services that consume a product catalog feed and session level events through standard API calls for recommendation scoring and personalization. Configuration work centered on defining recommendation placements, merchandising rules, and simple audience segments in the vendor console, with content and rule updates operated by the internal team of ten. Operational coverage is the a cup of dee website serving customers in Singapore, impacting merchandising, marketing, and customer experience workflows.
Initial Outfitters Professional Services 40 $7M United States Little Besides Me Little Besides Me Personalization and Product Recommendations 2022 n/a
In 2022, Initial Outfitters implemented Little Besides Me on their website. Little Besides Me is a Personalization and Product Recommendations application deployed to deliver onsite product suggestions and tailored content across the customer facing site. The deployment focused on the public website as the primary channel for product discovery and merchandising. Configuration centered on capabilities typical of the Personalization and Product Recommendations category, including recommendation widgets, product ranking and merchandising controls, customer segmentation and rule based targeting, and an administrative console for ongoing tuning. Little Besides Me was configured to surface related products and personalized product feeds within product and category pages, aligning with e-commerce and merchandising workflows. Operational ownership was aligned to e-commerce and marketing teams at Initial Outfitters, who manage recommendation rules, content placements, and iterative testing on the site. The implementation was embedded within the public website and activated through site integration to serve personalized content across product pages and checkout flows. Governance emphasized merchandising rule management and collaboration between merchandising and customer experience stakeholders to maintain the relevance of recommendation logic.
Leona Ruby Retail 10 $1M United States Little Besides Me Little Besides Me Personalization and Product Recommendations 2023 n/a
In 2023, Leona Ruby implemented Little Besides Me on its public website. Little Besides Me, a Personalization and Product Recommendations application, was provisioned as an embedded personalization layer to support onsite product discovery and merchandising for the small specialty retailer. The deployment used a lightweight client side integration model, embedding Little Besides Me scripts into site templates to surface recommendation widgets on collection pages, product detail pages, and cart pages. Configuration emphasized catalog feed synchronization, rule based recommendation engines, session based behavior tracking, and A B testing capabilities to refine personalization rules and widget placement. Operational scope was limited to the ecommerce website, with implementation and day to day governance managed by the owner together with a small merchandising and marketing function within the 10 person organization. Governance centered on cadence driven rule reviews, change control for rule and content updates, and QA of recommendation placements to keep onsite product suggestions aligned with merchandising objectives.
Leisure and Hospitality 10 $1M United States Little Besides Me Little Besides Me Personalization and Product Recommendations 2022 n/a
Manufacturing 10 $2M Vietnam Little Besides Me Little Besides Me Personalization and Product Recommendations 2022 n/a
Retail 14 $4M Australia Little Besides Me Little Besides Me Personalization and Product Recommendations 2024 n/a
Retail 10 $1M Singapore Little Besides Me Little Besides Me Personalization and Product Recommendations 2021 n/a
Leisure and Hospitality 7 $2M Australia Little Besides Me Little Besides Me Personalization and Product Recommendations 2022 n/a
Professional Services 15 $2M Singapore Little Besides Me Little Besides Me Personalization and Product Recommendations 2023 n/a
Professional Services 10 $2M Singapore Little Besides Me Little Besides Me Personalization and Product Recommendations 2021 n/a
Showing 1 to 10 of 10 entries

Buyer Intent: Companies Evaluating Little Besides Me

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FAQ - APPS RUN THE WORLD Little Besides Me Coverage

Little Besides Me is a Personalization and Product Recommendations solution from Little Besides Me.

Companies worldwide use Little Besides Me, from small firms to large enterprises across 21+ industries.

Organizations such as Initial Outfitters, Olive et Oriel, a cup of dee, Sourcy and The Moments Lab are recorded users of Little Besides Me for Personalization and Product Recommendations.

Companies using Little Besides Me are most concentrated in Professional Services and Retail, with adoption spanning over 21 industries.

Companies using Little Besides Me are most concentrated in United States, Australia and Singapore, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Little Besides Me across Americas, EMEA, and APAC.

Companies using Little Besides Me 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 Little Besides Me 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 Little Besides Me 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.