AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Regit Data, Technology Stack, and Enterprise Applications
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Amazon Web Services (AWS) Legacy Amazon EC2 Application Hosting and Computing Services IaaS n/a 2020 2020
Content Delivery Network IaaS 2019 2019
Content Delivery Network IaaS 2019 2019
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Peak Legacy Peak AI System Cognitive Computing AI-Powered Application n/a 2018 2018 In 2018, Regit implemented Peak AI System as a Cognitive Computing initiative to generate probabilistic predictions of which users were likely to change vehicle. The deployment consolidated Regit's first party user records with website analytics, marketing system data, and DVLA data into a single modeling dataset to support propensity scoring. Peak AI System was configured to ingest heterogeneous data and apply Categorical Machine Learning models capable of handling categorical and continuous variables simultaneously. The implementation included feature engineering pipelines, model training and automated scoring workflows within Peak's AIS, producing per-user likelihood scores that quantify purchase propensity. Explicit integrations in the implementation connected Regit's website, its marketing systems, and the Driver and Vehicle Licensing Agency DVLA dataset, enabling enrichment of behavioral signals with authoritative vehicle data. Operational coverage focused on marketing and sales functions, where scored predictions were used to prioritize outreach and identify users with higher likelihoods of changing car and generating a sale for Regit. Governance and workflow changes centered on model-driven decisioning, with prediction outputs feeding campaign targeting and lead management processes and routines to refresh models as new DVLA and site data arrived. The Peak AI System provided an operational scoring layer that aligned segmentation and sales prioritization to probabilistic predictions of customer churn to a new vehicle, supporting Regit's sales outcomes.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Google Legacy Google Workspace (Formerly Google G-Suite) Collaboration Collaboration n/a 2017 2017
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Customer Data Platform CRM 2017 2017
Customer Experience CRM 2017 2017
Digital Advertising Platform CRM 2019 2019
Digital Advertising Platform CRM 2019 2019
Digital Advertising Platform CRM 2019 2019
TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Governance, Risk and Compliance TRM 2018 2018
Governance, Risk and Compliance TRM 2018 2018
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
IT Service Management ITSM 2021 2021
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
ML and Data Science Platforms AI Development 2016 2017
IT Decision Makers and Key Stakeholders at Regit
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Regit Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Regit Technographics

Regit is a Automotive organization based in United Kingdom, with around 12 employees and annual revenues of $2.0 million.

Regit operates a diverse technology stack with applications such as Amazon EC2, Peak AI System and Google Workspace (Formerly Google G-Suite), covering areas like Application Hosting and Computing Services, Cognitive Computing and Collaboration.

Regit has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Amazon Web Services (AWS), Peak and Google.

Regit recently adopted applications including Atlassian Jira Service Desk in 2021, Amazon EC2 in 2020 and Amazon Elastic Load Balancing (ELB) in 2019, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Regit’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Regit’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

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