Montgomery Transport Automates Reporting with Alteryx
Region
- America
Country
- United States
Product
- Alteryx
- Tableau Server
Tech Stack
- Data Analytics
- Automated Reporting
- Predictive Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Transportation
Applicable Functions
- Logistics & Transportation
- Sales & Marketing
Use Cases
- Fleet Management
- Predictive Replenishment
Services
- Data Science Services
About The Customer
Montgomery Transport is a transportation company based in North America. They operate across multiple departments and were facing challenges with their reporting process. The company was looking for a solution that could automate their reporting process, freeing up time for their team and providing easy access to insights for their executive team. They were also interested in using predictive analytics for tasks such as fuel pricing, volume, and predicting truck driver numbers for each year.
The Challenge
Montgomery Transport, a transportation company based in North America, was facing challenges with their reporting process. The process was time-consuming, requiring three to four days of manual data entry. The company was looking for a solution that was easy to set up and effective at driving change quickly. They wanted a solution that could free up time for their team and publish to Tableau Server so that their executive team could get easy access to insights.
The Solution
Montgomery Transport implemented Alteryx, a data analytics platform, to automate their reporting process. They set up automated billing for accounting, reporting for their fleet maintenance server, and custom invoicing for their customers to speed up time to closing sales. They also used the platform to cut down three days on closing for consolidated reporting. These reports, which would have taken thirty to forty hours, can now be done in just three clicks. The company plans to use the platform for predictive analytics for tasks such as fuel pricing, volume, and predicting truck driver numbers for each year.
Operational Impact
Quantitative Benefit
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