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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

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Michelin, an e2open customer evaluated Oracle Transportation Management

List of AislelabsFlow Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Beauty Shoppers Retail 60 $5M United States Aislelabs AislelabsFlow Analytics and BI 2017 n/a In 2017, Beauty Shoppers implemented AislelabsFlow to introduce segmented customer analytics across its retail and online touchpoints. AislelabsFlow was provisioned as a cloud hosted service within the Analytics and BI category, and deployed to operate alongside the Aislelabs Connect platform to enable audience synchronization and real time activation. The deployment model emphasized lightweight client instrumentation on the ecommerce storefront and integration points for in store engagement, keeping architecture proportionate to a 60 person retailer while centralizing data capture and reporting in the AislelabsFlow instance. Operational ownership was assigned to the marketing function with shared access for store operations and merchandising teams, enabling cross functional visibility into segment definitions and behavioral cohorts. AislelabsFlow was configured with core Analytics and BI capabilities, including a segmentation engine, behavioral event processing, audience builder and dashboarding for campaign analysis. Integration with Aislelabs Connect provided segment export and trigger mechanisms for onsite personalization and downstream campaign orchestration, supporting automated audience syncs rather than manual CSV transfers. Governance was established through a marketing operations workflow for segment naming, access control and scheduled refreshes, with phased rollout across digital channels and physical stores to validate segment logic. The implementation focused on operationalizing segmented targeting and activation, aligning AislelabsFlow and Aislelabs Connect to the retailer s marketing, CRM and store engagement workflows.
Boutique Perfumery Retail 30 $3M Australia Aislelabs AislelabsFlow Analytics and BI 2017 n/a In 2017 Boutique Perfumery deployed AislelabsFlow to support Analytics and BI for customer analytics across its retail operations. The boutique retailer implemented AislelabsFlow alongside Aislelabs Connect to create a unified analytics layer that links online interactions and in-store touchpoints, aligning with marketing and store operations requirements. The implementation used AislelabsFlow for data ingestion, behavioral analytics, segmentation, and dashboarding, while the Connect platform was configured to stitch online event streams with in-store visit signals and identity resolution workflows. Workflows included session stitching, audience export capabilities for engagement orchestration, and role-based access for marketing and store managers, with configuration focused on small-team operational simplicity rather than enterprise-scale orchestration.
National Shopping Centre Group Retail 210 $50M United States Aislelabs AislelabsFlow Analytics and BI 2018 n/a In 2018, National Shopping Centre Group implemented AislelabsFlow to centralize visitor analytics across its portfolio. AislelabsFlow functions as the Analytics and BI solution for mall-level behavioral intelligence, pairing analytics outputs with activation capabilities through a co-deployed Aislelabs Connect instance to enable operational use of insights. The implementation configured Flow modules for location analytics, pedestrian flow visualization, dwell time analysis, and customer journey mapping, capturing anonymized device signals and time series behavioral events. Aislelabs Connect was configured to consume Flow segments and event triggers for audience building, campaign orchestration, and targeted messaging, maintaining a direct link between Analytics and BI outputs and marketing activation workflows. The Flow and Connect platforms work together by sharing a unified event stream, where Flow normalizes telemetry from onsite WiFi access points and sensors and Connect applies segmentation and campaign rules against that stream. The deployment used a cloud-hosted architecture with onsite data collection points, and role based access controls to surface dashboards and campaign interfaces to marketing, leasing, and property operations teams across the groups United States shopping centres. Governance was organized around a centralized analytics team responsible for data models, measurement definitions, segmentation taxonomies, and access policies, while individual centre marketing teams executed campaigns through Aislelabs Connect. Site rollout followed phased activation and standardized configuration templates to ensure consistent measurement and audience definitions across locations.
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