Buckeye, 85326, AZ,
United States
Duncan & Son Lines Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Duncan & Son Lines and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 250 Duncan & Son Lines employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Duncan & Son Lines has purchased the following applications: Microsoft 365 for Collaboration in 2018, Prepass Weigh Station Bypass for Fleet Management in 2003, Kofax RPA for Robotic Process Automation in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Duncan & Son Lines is running and its propensity to invest more and deepen its relationship with Microsoft , PrePass , Tungsten Automation 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 Duncan & Son Lines revenues, which have grown to $32.0 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 Duncan & Son Lines 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.
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2018 | 2018 |
|
SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| PrePass | Legacy | Prepass Weigh Station Bypass | Fleet Management | SCM | n/a | 2003 | 2003 |
In 2003 Duncan & Son Lines implemented PrePass Weigh Station Bypass to streamline intermodal container drayage operations and reduce wait times at weigh stations. The deployment centered on PrePass Weigh Station Bypass as a Fleet Management application supporting fleet operations across the U.S. Southwest, with particular focus on port approaches and regional corridors serving Buckeye, Arizona.
The implementation leveraged standard PrePass capabilities including in-vehicle bypass credentialing, automated weigh station screening, and in-cab driver notifications to minimize stopped time at inspection points. Configuration emphasized driver enrollment and credential management, along with operational rules to route eligible tractors through bypass lanes, reflecting typical Fleet Management workflows for compliance and route efficiency.
Operational scope covered terminal-to-port drayage and regional highway segments, affecting dispatch, driver operations, safety and compliance functions. Governance included sustained operational processes for driver onboarding to the PrePass program and procedural alignment with port access schedules, reflecting long-term embedded use of the PrePass Weigh Station Bypass across Duncan & Son Lines operations.
Duncan & Son Lines reports that long-term use of PrePass Weigh Station Bypass yielded improved driver satisfaction, reduced delays at ports and better schedule adherence, making these outcomes the primary benefits cited from the sustained deployment.
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tungsten Automation | Legacy | Kofax RPA | Robotic Process Automation | PaaS | n/a | 2019 | 2019 |
In 2019, Duncan & Son Lines implemented Kofax RPA in a Robotic Process Automation deployment to automate repetitive logistics workflows. Duncan & Son Lines is a family owned international container drayage firm operating over 220 trucks and a 26 acre container yard in Phoenix, Arizona, and the deployment targeted operations, customer service, and order management functions tied to port drayage and yard operations.
The implementation leveraged Kofax RPA to deliver Data Collection/Data Mining/Data Extraction, Desktop Automation, Order Processing, and Invoice Processing capabilities. Business users were enabled to build and test software robots rapidly, with some robots created in as little as four hours, which supported a citizen developer approach to automation and reduced dependence on deep programming skills.
Kofax RPA was integrated with the company transport management solution to capture and forward real time container delivery data gathered from truck GPS transmitters to the operations team. Robots were also configured to ingest orders received via email, update client order status on the company website, and forward order details to customer service for invoicing, creating end to end automation across order intake, status updates, and billing workflows.
Deployment and governance included direct engagement with a Kofax team to address complex use cases and to re engineer processes, moving routine tasks into automated workflows. Within a month six robots were live, expanding to 70 robots in production after one year, and the organization reported return on investment in nine months alongside a measurable reduction in manual, time consuming work.
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2012 | 2012 |
|
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|
|
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Application Hosting and Computing Services | IaaS |
|
2018 | 2018 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Web Application Firewalls (WAF), DDoS Protection | CyberSecurity |
|
2022 | 2022 |
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