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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of In Cart Upsell Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
100 Cherries Distribution 3 $1M Germany In Cart Upsell In Cart Upsell Personalization and Product Recommendations 2020 n/a
In 2020, 100 Cherries deployed In Cart Upsell on its public website, https://www.mellow.care/. In Cart Upsell is a Personalization and Product Recommendations application used to surface add-ons and cross-sell suggestions at the point of purchase. The implementation is scoped to a single ecommerce site in the distribution sector, focused on cart-level merchandising and checkout conversion. With a three person organization the deployment is site-centric, lightweight, and managed within the existing web storefront. The deployment leverages In Cart Upsell capabilities for in-cart recommendation widgets, rule-based offer configuration, and client-side UI injection to present targeted product suggestions during checkout. Configuration work centered on catalog mapping, offer rules, and front-end placement, with governance consolidated to the small commerce team responsible for merchandising and order capture. The implementation emphasizes operational simplicity, keeping integrations minimal and contained to the website front-end rather than broad backend system orchestration.
200 Degrees Coffee Leisure and Hospitality 200 $25M United Kingdom In Cart Upsell In Cart Upsell Personalization and Product Recommendations 2022 n/a
In 2022, 200 Degrees Coffee implemented In Cart Upsell on its website, deploying the Personalization and Product Recommendations application to the ecommerce cart and checkout experience. The implementation was delivered as an on site integration that injected recommendation logic into the storefront presentation layer, surfacing contextual offers at cart and checkout and aligning with online merchandising and sales touchpoints. The deployment emphasized client facing recommendation rendering rather than backend order processing. In Cart Upsell was configured to surface rule based and behaviorally informed cross sell and upsell offers, support product bundling and order value threshold prompts, and manage offer templates through merchandising workflows. Operational coverage focused on the ecommerce and digital marketing teams for the United Kingdom storefront, with governance framed around catalog rules, offer templates, and controlled updates to on site promotions. The configuration centered on in page recommendation logic and merchandising control, aligning In Cart Upsell with the companys product recommendation and personalization processes.
350 Limited Professional Services 10 $1M Thailand In Cart Upsell In Cart Upsell Personalization and Product Recommendations 2019 n/a
In 2019, 350 Limited implemented In Cart Upsell on its public website. The deployment uses In Cart Upsell to surface cart level product recommendations, classified under Personalization and Product Recommendations. Implementation is delivered as a storefront embed, running as a client side script that surfaces offers during cart and checkout interactions. The scope of the implementation is the company website, supporting online commerce and merchandising for the small professional services firm. Configuration emphasized in cart offer sequencing, rule based recommendation logic and on page user interface placement, consistent with Personalization and Product Recommendations capabilities. Management and governance were executed through the company web operations and merchandising workflow, aligning cart offers with product catalog updates. The solution operates at the storefront runtime, integrating directly with the website cart and checkout interaction rather than deep back office system links. For a 10 person company the architecture privileges lightweight front end personalization and runtime recommendation delivery.
Consumer Packaged Goods 25 $5M Finland In Cart Upsell In Cart Upsell Personalization and Product Recommendations 2020 n/a
Manufacturing 34 $4M United States In Cart Upsell In Cart Upsell Personalization and Product Recommendations 2019 n/a
Retail 10 $1M United States In Cart Upsell In Cart Upsell Personalization and Product Recommendations 2020 n/a
Manufacturing 150 $9M Mexico In Cart Upsell In Cart Upsell Personalization and Product Recommendations 2020 n/a
Distribution 10 $1M United States In Cart Upsell In Cart Upsell Personalization and Product Recommendations 2018 n/a
Leisure and Hospitality 7 $2M Australia In Cart Upsell In Cart Upsell Personalization and Product Recommendations 2022 n/a
Retail 10 $1M United States In Cart Upsell In Cart Upsell Personalization and Product Recommendations 2022 n/a
Showing 1 to 10 of 377 entries

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FAQ - APPS RUN THE WORLD In Cart Upsell Coverage

In Cart Upsell is a Personalization and Product Recommendations solution from In Cart Upsell.

Companies worldwide use In Cart Upsell, from small firms to large enterprises across 21+ industries.

Organizations such as Los Angeles Apparel, Farmacorp, Waldo`s Dollar Mart, Summer Fridays and LootCrate are recorded users of In Cart Upsell for Personalization and Product Recommendations.

Companies using In Cart Upsell are most concentrated in Retail, Professional Services and Consumer Packaged Goods, with adoption spanning over 21 industries.

Companies using In Cart Upsell are most concentrated in United States, Bolivia and Mexico, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of In Cart Upsell across Americas, EMEA, and APAC.

Companies using In Cart Upsell range from small businesses with 0-100 employees - 88.86%, to mid-sized firms with 101-1,000 employees - 10.34%, large organizations with 1,001-10,000 employees - 0.8%, and global enterprises with 10,000+ employees - 0%.

Customers of In Cart Upsell 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 In Cart Upsell 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.