Case Studies
Real Results. Real Businesses.
Every engagement is measured by one standard: did it move the needle? Here are some examples of the impact we deliver.
How a 50-Person Logistics Company Saved $2.1M with AI-Driven Route Optimization
The Challenge
A regional logistics provider was losing money on inefficient routing and fuel costs. Manual route planning couldn't keep up with growing delivery volumes, and driver overtime was eating into margins.
Our Solution
We conducted a data readiness assessment, built a clean data pipeline from their GPS and order management systems, and deployed a machine learning model that optimized delivery routes in real-time based on traffic patterns, delivery windows, and vehicle capacity.
The Results
$2.1M
Annual savings
23%
Reduction in fuel costs
31%
Fewer late deliveries
4 months
Time to ROI
Mid-Market Retailer Increases Revenue 18% with AI-Powered Inventory Forecasting
The Challenge
A 120-store retailer was struggling with stockouts on popular items and overstock on slow movers. Their legacy forecasting relied on spreadsheets and gut instinct, costing millions in lost sales and markdowns.
Our Solution
We designed an AI strategy roadmap, then built a demand forecasting model that analyzed sales history, seasonality, local events, and weather data. The system integrated directly with their existing POS and inventory management platform.
The Results
18%
Revenue increase
40%
Reduction in stockouts
28%
Less overstock waste
6 months
Full deployment
Healthcare Provider Cuts Administrative Costs 35% Through Intelligent Document Processing
The Challenge
A multi-location healthcare provider was drowning in paperwork. Staff spent 60% of their time on manual data entry from patient forms, insurance claims, and referral documents, leading to errors and burnout.
Our Solution
We assessed their document workflows, built an AI-powered document processing pipeline using OCR and natural language processing, and integrated it with their EHR system. The solution automatically extracts, validates, and routes information from incoming documents.
The Results
35%
Reduction in admin costs
90%
Extraction accuracy
12hrs
Saved per staff per week
3 months
Time to production
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