CASE STUDYLogisticsVirginia

Revolutionizing Support:
VA Service Desk Automation

How XDATA deployed Natural Language Processing to reduce ticket volume by 65% for a leading Virginia logistics firm, saving over $250k annually.

Client Office, Richmond VA

The Challenge

The client, a regional logistics powerhouse based in Richmond, Virginia, was facing a critical bottleneck. Their internal IT service desk was overwhelmed by repetitive Tier 1 support requests—password resets, software access inquiries, and hardware troubleshooting.

"Our IT team was spending 70% of their time on tasks that could be automated, leading to burnout and delayed strategic initiatives."

The XDATA Solution

We implemented a custom AI-driven Service Desk Agent capable of understanding natural language intent. The system integrates directly with their existing ticketing platform to resolve common issues autonomously.

Azure Bot Service
Python NLP
Cloud Functions
Power BI

Implementation Roadmap

1
Audit & Data Collection

Analyzed 3 years of ticket history to identify top 20 automation candidates.

2
Model Training

Trained NLP models on local linguistic nuances and industry-specific jargon.

3
Phased Deployment

Rolled out to 10% of users initially, reaching 100% adoption within 6 weeks.

Performance Data

5k2.5k0
4,500
Before AI
Manual Tickets
1,575
After AI
Manual Tickets
-90% Time
Old Avg
Response Time
Instant
New Avg
Response Time

Key Results

Cost Reduction

40%

Operational spend decreased YOY

Availability

24/7

Up from 9am-5pm Mon-Fri

Ticket Deflection

65%

Of L1 tickets resolved without human

Sarah Jenkins

CTO, Virginia Logistics Co.

"XDATA didn't just install software; they transformed how our entire company views support efficiency."

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