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Case Study

Allocator

Intelligent Lead Routing for a Major National Home-Improvement Brand

+$27M annual revenue uplift24% average performance gainPlans generated in seconds
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Revenue Impact
$27M
new annual revenue
Performance Lift
+24%
avg. lift vs. baseline
Success Rate
96%
of 1,100 experiments beat benchmark
Speed Improvement
90s → <1s
planning-time collapse

The Challenge

A national home-improvement retailer manages 1,000+ field sales reps and thousands of daily in-home appointments. Scheduling consumed hours, delivered inconsistent routes, and left revenue on the table—especially during peak season when every mile and minute matters.

Our Approach

Updoot developed Allocator through a systematic approach, leveraging proprietary hybrid meta-heuristic engines and a continuous-experimentation framework that automatically evaluates hundreds of algorithmic variants against live performance data.

This methodical R&D process enables the system to evolve in production, consistently deploying the highest-performing strategies while protecting proprietary methodologies and intellectual property.

Solution Architecture

1

Optimization Engine

A cloud-native service fusing fast heuristics, stochastic search, and exact solvers into a single decision core.

2

Scalable REST API

Stateless FastAPI layer (S3-backed) that ingests 1GB+ datasets and returns optimized routes in < 300 ms.

3

Interactive Analytics Dashboard

Next.js app on Vercel for real-time "what-if" analysis and KPI tracking.

Business Impact

  • Revenue Expansion — projected $27M/year via higher win-rates and lead coverage.
  • Operational Efficiency — planning shrank from hours to seconds, freeing managers for coaching, not spreadsheets.
  • Mileage Economics — +33% value per mile, cutting fuel, maintenance, and carbon footprint.
  • Customer Experience — faster response times drove a 9% portfolio uplift in high-value consult bookings.
“Updoot turned lead allocation from our biggest bottleneck into a competitive weapon in under 60 days.”
— Director of Field Operations, confidential client

What This Means for You

If you manage large field teams—or any complex resource-to-demand puzzle—Updoot's experimentation-driven optimization framework can unlock similar step-change gains without exposing proprietary know-how.

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