Real Results
How mid-size companies are using AI platforms to transform marketing, operations, and customer intelligence.
Names of businesses have been changed for privacy and confidentiality.
AI-Powered Marketing Analytics Platform
Meridian Consumer Group · Consumer Goods / DTC
The Challenge
Meridian was spending $2.4M annually across 12 ad platforms with no unified view of performance. Attribution was manual, cohort analysis took two weeks, and the marketing team was making spend decisions on gut feeling rather than data.
DTS built an AI-powered analytics platform that ingests data from all 12 ad platforms in real time. The system automates cohort analysis, runs multi-touch attribution modeling, and provides daily spend optimization recommendations powered by predictive AI.
34%
Reduction in customer acquisition cost
2.1x
Improvement in ROAS within 90 days
15hrs/wk
Saved in manual reporting
$840K
Ad spend reallocated from underperformers
What We Built
AI Content and Campaign Automation Engine
Prism Health Partners · Healthcare SaaS
The Challenge
Prism's marketing team of four was responsible for content across six channels. Campaign creation took three weeks from brief to launch, and A/B testing was inconsistent because they lacked the bandwidth to run proper experiments.
DTS deployed an AI content engine that generates ad copy, email sequences, and landing page variants from a single campaign brief. The system runs automated A/B tests, personalizes messaging by audience segment, and learns from performance data to improve over time.
5x
Increase in content output
22%
Lift in email open rates
3 days
Campaign launch time, down from 3 weeks
41%
Improvement in ad click-through rates
What We Built
AI-Powered Workforce Management Platform
Atlas Manufacturing Co. · Industrial Manufacturing
The Challenge
Atlas had 340 employees across three facilities with time tracking spread across paper timesheets and three different software systems. Performance reviews were annual and backward-looking, and the hiring pipeline had a 67-day average time-to-fill.
DTS built a unified workforce platform with AI-powered time tracking that auto-categorizes work by project and department, continuous performance analytics that replace annual reviews, and an intelligent hiring pipeline that screens candidates and predicts fit.
67 to 23
Days to fill open positions
94%
Time tracking accuracy, up from 71%
$320K
Annual savings from reduced overtime errors
3x
Faster performance review cycles
What We Built
Automated Financial Reporting and Forecasting
Vantage Property Group · Commercial Real Estate
The Challenge
Vantage managed a portfolio of 48 commercial properties with financial reporting done in spreadsheets. Monthly close took 12 business days, forecasting was quarterly at best, and anomalies in tenant payments went undetected for weeks.
DTS deployed an AI financial operations platform that automates monthly reporting across all 48 properties, generates rolling forecasts updated weekly, and runs real-time anomaly detection on revenue streams, expenses, and tenant payment patterns.
12 to 3
Business days for monthly close
$1.2M
Revenue leakage detected in first quarter
Weekly
Forecasts replaced quarterly projections
89%
Reduction in reporting errors
What We Built
Unified Customer Intelligence Platform
Beacon Retail Systems · Multi-Channel Retail
The Challenge
Beacon had customer data siloed across their POS system, e-commerce platform, loyalty program, and customer support tool. They had no unified customer view, churn prediction was nonexistent, and customer sentiment was measured only through quarterly surveys.
DTS built a customer intelligence platform that unifies data from all four systems into a single customer profile. The platform runs predictive churn models, real-time sentiment analysis from support interactions and reviews, and generates automated customer health scores.
28%
Reduction in customer churn rate
360°
Unified customer view across all touchpoints
4.2x
ROI on retention campaigns
Real-time
Sentiment analysis replaced quarterly surveys
What We Built
AI Supply Chain and Inventory Optimization
Summit Distribution Network · Food & Beverage Distribution
The Challenge
Summit distributed perishable goods across 200 retail locations with demand forecasting done on historical averages. Stockouts cost them an estimated $3M annually, while overstock waste on perishable items was running at 14%.
DTS deployed an AI-driven supply chain platform that uses machine learning for demand forecasting incorporating weather, seasonality, promotions, and local events. The system automates reordering, optimizes delivery routing, and provides real-time inventory visibility.
62%
Reduction in stockout incidents
14% to 4%
Perishable waste rate reduction
$2.1M
Annual savings from optimized inventory
18%
Improvement in delivery route efficiency
What We Built
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