Houston, 77074, TX,
United States
Team Mancuso Powersports Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Team Mancuso Powersports and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 150 Team Mancuso Powersports employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Team Mancuso Powersports has purchased the following applications: ClockIt Time and Attendance for Time and Attendance in 2024, Deepcheck ML Monitoring for MLOps Platforms in 2016, Tawk.to for Chatbots and Conversational AI in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Team Mancuso Powersports is running and its propensity to invest more and deepen its relationship with ClockIt , Deepchecks , Tawk.to 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 Team Mancuso Powersports revenues, which have grown to $45.0 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 Team Mancuso Powersports 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| ClockIt | Legacy | ClockIt Time and Attendance | Time and Attendance | HCM | n/a | 2024 | 2024 |
In 2024, Team Mancuso Powersports implemented ClockIt Time and Attendance to centralize hourly workforce tracking across its retail and service operations. The ClockIt Time and Attendance deployment concentrated on core time capture and scheduling capabilities for store floor staff, service technicians, and parts department personnel, addressing timekeeping, shift scheduling, absence tracking, and payroll-ready timesheet generation. The implementation restated the full application name ClockIt Time and Attendance to ensure operational clarity in procurement and configuration documentation.
Configuration work included mobile and terminal clock-in methods, configurable shift rules and overtime logic, manager approval workflows, and auditable timecard editing controls, reflecting standard Time and Attendance functional modules. Rollout was executed in stages with store-level pilots progressing to broader site adoption, and governance was established through manager sign-off procedures for timecard approvals and exception handling to enforce policy compliance. No system integrator was specified and no named downstream payroll or HR system integrations were documented in the source materials.
|
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Deepchecks | Legacy | Deepcheck ML Monitoring | MLOps Platforms | AI Development | n/a | 2016 | 2016 |
In 2016 Team Mancuso Powersports implemented Deepcheck ML Monitoring as part of its MLOps Platforms footprint. The deployment was positioned to provide continuous oversight of production machine learning models supporting the retailer's digital storefront and marketing analytics across its Houston multi-store network.
Deepcheck ML Monitoring was configured to deliver core MLOps capabilities common to the category, including model performance monitoring, automated data quality and feature validation, concept and data drift detection, alerting and reporting dashboards, and versioned model snapshotting for reproducibility. Configuration focused on baseline performance comparisons and scheduled validation checks to detect degradation and trigger analyst review workflows.
Operational coverage emphasized collaboration between data science, marketing analytics, and IT operations teams, with monitoring outputs routed to analytics staff for investigation and remediation. The implementation complemented a parallel marketing program run by Dealer Spike, which centralized CRM and marketing automation plus paid channels for the Houston stores and reported a July 2016 launch that delivered a reported 281 percent average increase in leads across the sites.
Governance practices centered on threshold based alerts, documented validation rules, and role based access to monitoring dashboards to support controlled model investigation and iterative remediation. The narrative reflects an MLOps Platforms deployment that institutionalized continuous model observability for retail marketing and storefront decisioning, while maintaining separation from the Dealer Spike marketing execution and reported lead outcomes.
|
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tawk.to | Legacy | Tawk.to | Chatbots and Conversational AI | AI-Powered Application | n/a | 2017 | 2017 |
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Collaboration | Collaboration |
|
2022 | 2022 |
|
Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Web Content Management | Content Management |
|
2019 | 2019 |
|
|
|
|
|
Web Content Management | Content Management |
|
2019 | 2019 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Marketing Analytics | CRM |
|
2019 | 2019 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2025 | 2025 |
|
|
|
|
|
Tag Management | CRM |
|
2019 | 2019 |
|
|
|
|
|
Tag Management | CRM |
|
2021 | 2021 |
|
TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Governance, Risk and Compliance | TRM |
|
2025 | 2025 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Apps Development | PaaS |
|
2022 | 2022 |
|
|
|
|
|
Transactional Email | PaaS |
|
2019 | 2019 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2025 | 2025 |
|
CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Secure Sockets Layer (SSL) | CyberSecurity |
|
2014 | 2014 |
|
|
|
|
|
Secure Sockets Layer (SSL) | CyberSecurity |
|
2017 | 2017 |
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||