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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of Connexica Predictive Modelling Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Leeds Teaching Hospitals NHS Trust (LTHT) Healthcare 18000 $1.0B United Kingdom Connexica Connexica Predictive Modelling Predictive Analytics 2019 n/a
In 2019 Leeds Teaching Hospitals NHS Trust implemented Connexica Predictive Modelling as a Predictive Analytics deployment to improve procurement and inventory visibility across the trust. The Connexica Predictive Modelling implementation delivered a CXAIMS solution targeted at inventory forecasting and procurement decision support used across multiple hospital sites within the trust. The deployment centralized functional capabilities for inventory visibility, demand forecasting, and exception alerting, with configuration focused on procurement workflows and stock level optimization. Connexica Predictive Modelling was extended to include automation of clinical recall workflows, embedding predictive scoring and rule-based notifications into existing inventory and ordering processes. Operational coverage included trust-wide procurement and inventory management teams and clinical areas responsible for device and supply recalls, aligning predictive outputs with procurement decision-making and inventory control processes. Governance adjustments established routine review cycles for model outputs, procurement exceptions, and clinical recall triggers to operationalize the predictive insights into ordering and recall policies. The implementation contributed to reduced inventory waste and improved procurement decisions, with reported inventory savings of around £2 million and an extension to automate clinical recalls estimated to save approximately £80,000 per year. These outcomes reflect the application of Connexica Predictive Modelling within the Predictive Analytics category to procurement, inventory, and clinical recall functions at Leeds Teaching Hospitals NHS Trust.
ResMed Life Sciences 7970 $3.2B United States Connexica Connexica Predictive Modelling Predictive Analytics 2008 n/a
In 2008 ResMed implemented Connexica Predictive Modelling as a progression from its earlier use of Connexica CXAIR across manufacturing and operations. The CXAIR deployment had been configured to report on Navision and Oracle data sources and had scaled to hundreds of users for operational and strategic KPI reporting in Germany. The decision to adopt Connexica Predictive Modelling advanced the company's Predictive Analytics agenda by extending descriptive reporting into model driven forecasting. Connexica Predictive Modelling was configured to layer predictive workflows on top of existing CXAIR dashboards, enabling category aligned capabilities such as KPI forecasting, anomaly detection, and scenario simulation. Implementation work focused on embedding predictive outputs into operational dashboards and scheduled reporting streams used by manufacturing and operations leaders, aligning model outputs with established KPI definitions. Models were parametrized to consume the same ERP feeds and measurement series that powered prior CXAIR reports. The deployment integrated directly with Navision and Oracle reporting feeds that had been previously instrumented by CXAIR, preserving operational data pipelines and user access patterns in Germany. Rollout emphasized governance by incorporating predictive results into existing reporting workflows and access controls used by operations and manufacturing teams, moving from tactical operational reports toward strategic KPI views. Usage of Connexica Predictive Modelling is inferred from ResMed's stated interest in predictive analytics and the prior scaling of CXAIR across hundreds of users in Germany.
Sirona Care & Health Healthcare 2500 $106M United Kingdom Connexica Connexica Predictive Modelling Predictive Analytics 2014 Apira
In 2014, Sirona Care & Health implemented Connexica Predictive Modelling to centralize analytics and operational reporting for its community and learning disability services. The initiative was positioned in the Predictive Analytics category and used Connexica's CXAIR platform to provide an enterprise reporting and modeling layer for clinical and commissioning stakeholders. The deployment replicated over 200 clinical and commissioning reports, converting static outputs into near real time intelligence workflows. Functional capabilities implemented included automated report generation, ad hoc analytics and visualization, real time intelligence feeds for operational teams, and predictive modelling components to surface emerging demand patterns for community care. Operational coverage targeted community health and learning disability services in South Gloucestershire, with the solution supporting healthcare, procurement and operations functions. The implementation integrated analytical outputs into existing care management and commissioning workflows to improve timeliness of information for front line and contract teams. Apira acted as the implementation partner for the Connexica CXAIR deployment, and governance changes included redesign of reporting processes to institutionalize timely, data driven decision making. The programme enabled service redesign and improved operational visibility, and it delivered reported annualised savings of £500,000.
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FAQ - APPS RUN THE WORLD Connexica Predictive Modelling Coverage

Connexica Predictive Modelling is a Predictive Analytics solution from Connexica.

Companies worldwide use Connexica Predictive Modelling, from small firms to large enterprises across 21+ industries.

Organizations such as ResMed, Leeds Teaching Hospitals NHS Trust (LTHT) and Sirona Care & Health are recorded users of Connexica Predictive Modelling for Predictive Analytics.

Companies using Connexica Predictive Modelling are most concentrated in Life Sciences and Healthcare, with adoption spanning over 21 industries.

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

Companies using Connexica Predictive Modelling range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 66.67%, and global enterprises with 10,000+ employees - 33.33%.

Customers of Connexica Predictive Modelling 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 Connexica Predictive Modelling customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Predictive Analytics.