⚙️ Alts Production Intelligence Dashboard

Mini Case Study — Operational AI Prototype
Production Cycle Overview
Total Tickets
151
Across 3 shops
Total Workload
400.1h
Estimated production time
Total Revenue
$48,450
Combined all shops
Active Tailors
26
Across all locations
Bridal Tickets
5
High complexity work
Most Loaded Shop
Shop 1
173.7 hrs / 70.8% utilized
Shop Workload vs Capacity

Shop 1   MEDIUM RISK

Utilization70.8%
Tickets63
Workload173.7 hrs
Assignable Capacity245.3 hrs
Gap71.6 hrs
Revenue$21,464
Bridal Tickets4
Eligible Tailors18
Avg Efficiency0.76

Shop 2   LOW RISK

Utilization41.3%
Tickets45
Workload94.7 hrs
Assignable Capacity229.3 hrs
Gap134.6 hrs
Revenue$11,468
Bridal Tickets1
Eligible Tailors16
Avg Efficiency0.81

Shop 3   LOW RISK

Utilization37.7%
Tickets43
Workload131.7 hrs
Assignable Capacity349.3 hrs
Gap217.6 hrs
Revenue$15,517
Bridal Tickets0
Eligible Tailors18
Avg Efficiency0.76
Visual Analysis

Workload vs Capacity by Shop (hrs)

Garment Category Distribution by Shop

Top Garment Types — Shop 1

Revenue Distribution by Shop

Operational Recommendations
⚠️
The workload is not evenly distributed — and Shop 1 will feel it: Shop 1 carries 173.7 hrs — 83% more than Shop 2 (94.7 hrs) and 32% more than Shop 3 (131.7 hrs). On its own that is manageable at 70.8% utilization, but Shop 1 also holds 4 of the 5 bridal tickets this cycle. The combination of high volume and high complexity is what makes Shop 1 the risk to watch.
🔴
Lock in bridal coverage for Shop 1 first: Before any other staffing decisions are made, confirm that at least 2–3 bridal-specialist tailors are assigned to Shop 1. BibiH, DaciaH, Emilia, and Farida are all eligible and capable. Shop 3 has zero bridal tickets this cycle — bridal specialists assigned there can be redirected without any impact.
🔄
Gerson belongs in Shop 1 this cycle, not Shop 2: Gerson has the highest efficiency ratio in the entire roster at 2.45x — producing more than twice the expected output per hour. He is eligible for both Shop 1 and Shop 2. With Shop 2 at only 41.3% utilization, Gerson's 2 available days are far better used reinforcing Shop 1. This is the single highest-impact staffing decision available this cycle.
Shop 3 is your safety valve if things run hot mid-cycle: Shop 3 has 349 hrs of assignable capacity against only 131.7 hrs of workload — using less than 38% of what is available. Tailors eligible for both Shop 1 and Shop 3 (AnverB, Braulio, DaciaH, Fontaine) can be held in reserve and deployed to Shop 1 if workload exceeds expectations mid-cycle.
👗
Do not tie down Amadou at the start of the cycle: 73–76% of tickets across all shops are Women's garments. Amadou covers Dresses, Jackets, and Pants and is eligible for all three shops — the only tailor in the dataset with that combination. Assigning Amadou to a fixed shop at the start wastes that flexibility. Let the first 24 hours tell you where dress volume is peaking, then deploy accordingly.
Prioritize high-efficiency tailors for Shop 1: Assign tailors with efficiency ratio ≥ 1.0 to Shop 1 first: Gerson (2.45), Braulio (1.62), Gezim (1.47), AbdallahA (1.14), AjeteH (1.11). These tailors complete work faster than estimated — critical for managing Shop 1's higher workload without adding capacity.
Tailor Capability & Availability
Tailor Job Title Specialty Level Efficiency $/hr Avail Days Eligible Shops