Resource Management & Allocation Dashboard

Real-time resource deployment optimization matching supply to forecasted demand.

Duration

8 Weeks

Role

Lead Analyst

Impact

Utilization Efficiency: 87%

87%

Utilization Rate

+23%

Allocation Efficiency

<5%

Resource-Demand Gap

-$12

Cost/Unit

The Challenge

Are we deploying people/inventory/capacity efficiently to meet demand? Resource allocation was manual, reactive, and often misaligned with forecasts.

Technical & Strategic Approach

Connected demand forecasts to resource capacity planning model
Built allocation optimization algorithm minimizing demand-supply gaps
Created visualization showing planned vs. actual deployment with variance analysis
Automated resource recommendations based on forecast confidence levels
Implemented cost-per-unit tracking across allocation strategies

Results & Outcomes

Improved utilization from 64% to 87%. Reduced resource-demand gap from 18% to <5%. Saved $12 per unit deployed through better matching.

Tech Stack

Python

OR-Tools

SQL

Looker

Pandas

PuLP

Deep Dive into the Data

Explore interactive dashboards, detailed analysis, and data visualizations