Sydney, 2010, NSW,
Australia
Cue Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Cue and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 93 Cue employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Cue has purchased the following applications: SAP Emarsys AI Stylist for Personalization and Product Recommendations in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Cue is running and its propensity to invest more and deepen its relationship with SAP or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Cue revenues, which have grown to $29.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Cue intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Emarsys AI Stylist | Personalization and Product Recommendations | eCommerce | n/a | 2021 | 2021 |
In 2021, CUE Clothing Co. implemented SAP Emarsys AI Stylist to deliver video-based styling sessions and hybrid in-store and digital customer experiences using Personalization and Product Recommendations capabilities. The deployment targeted the retailer's Australian operations, aligning the SAP Emarsys AI Stylist application with front-line styling workflows and customer engagement across web and store touchpoints.
The implementation configured SAP Emarsys AI Stylist and Emarsys personalization and product-recommendation capabilities to power real-time AI recommendations during guided video styling sessions, personalized product assortments, and tailored CRM-driven outreach. Functional workflows emphasized recommendation orchestration, session-driven product bundling, and personalized messaging consistent with Personalization and Product Recommendations platform patterns.
Operationally the solution was run across e-commerce channels, store-led styling sessions, and CRM communication flows, enabling a hybrid retail and CRM experience. Integrations were focused on synchronizing session-driven recommendations with retail point-of-sale and CRM-managed customer records to maintain consistent personalization across digital and physical interactions.
Governance and rollout involved aligning store associates, e-commerce merchandising, and CRM teams to a common styling-session workflow and recommendation governance, supporting consistent offer and loyalty treatment. The Emarsys case study reports outcomes from this SAP Emarsys AI Stylist implementation including a 5–6x increase in average order value and a 21% increase in loyal customers.
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