Laundroworks — Hourly Utilization & Anomalies

Aug 17, 2025 – Feb 16, 2026  ·  Timestamps corrected +5 hrs (data stored as UTC, was already NYC local time)  ·  Operating hours: ~6 AM – 9 PM

Peak & Anomaly Summary
Peak Avg Customer Washer
12.9%
12 PM noon · 55 washers total
Max Customer Washer (Ever)
54.6%
Dec 14 Sun, 5 PM · 30 of 55 washers
Peak Avg Customer Dryer
17.7%
1 PM · 57 dryers total
Max Customer Dryer (Ever)
55.2%
3 PM and 7 PM on peak days
Anomaly Hours (6 mo)
368
Hours exceeding ±2σ from hourly mean

Washer Utilization — % of Fleet In Use by Hour
Customer avg Customer p10–p90 band Customer min/max Staff avg Staff p10–p90 band
Customer Retail Washers — % In Use
Avg with p10–p90 band and absolute min/max · 55 washers total
Staff W&F Washers — % In Use
Avg with p10–p90 band and absolute max · 55 washers total
Combined Washer Utilization (Customer + Staff) vs Capacity
Total % of 55-washer fleet in use · Avg line, p10–p90 band, absolute min/max, and 100% capacity ceiling
Customer Customer washer utilization is surprisingly flat: avg ~10–13% from 9 AM to 6 PM with no clear single peak. The p90 band (23–26%) reveals that on strong days utilization nearly doubles. The absolute max of 54.6% (Dec 14, Sunday 5 PM) shows near-capacity is possible. Staff Staff washers spike sharply at 8–9 AM (avg 7–9%, max 43.6% at 7 AM on Jan 22 Thu) for the morning W&F load, then again at 1–2 PM as the next batch turns over.

Dryer Utilization — % of Fleet In Use by Hour
Customer Retail Dryers — % In Use
Avg with p10–p90 band and absolute min/max · 57 dryers total
Staff W&F Dryers — % In Use
Avg with p10–p90 band and absolute max · 57 dryers total
Combined Dryer Utilization (Customer + Staff) vs Capacity
Total % of 57-dryer fleet in use · Avg line, p10–p90 band, absolute min/max, and 100% capacity ceiling
Customer Customer dryers run consistently higher than washers (avg 15–18% vs 10–13%), reflecting that each wash drives multiple dry cycles. The p90 band (29–35%) is notably wide, indicating high day-to-day variance — some days are quiet, others push hard. Max customer dryer was 55.2% (31 of 57 dryers simultaneously). Staff Staff dryers peak at 2 PM avg 19.7%, with a max of 51.7% (Nov 15, Sat 8 AM — a morning W&F surge). Staff dryers have a much heavier late-afternoon/evening tail than staff washers because drying takes longer.

Combined View — All 4 Categories (Avg % of Fleet)
Washers: Customer + Staff Average Utilization
Stacked to show total washer demand by hour
Dryers: Customer + Staff Average Utilization
Stacked to show total dryer demand by hour

Utilization Trends — 6-Month Evolution
Daily Peak Utilization — Washers vs Dryers
Maximum % reached at any hour each day · Shows capacity stress points
7-Day Rolling Avg — Daily Average Utilization
Smoothed trend showing overall capacity demand over time
Broken Machines Over Time (All Dryers)
Daily count of machines with timeout status · Zero broken since Feb 3
Customer vs Staff Peak — Washer Utilization
Daily max % for each category showing W&F growth
Effective Dryer Capacity vs Utilization
Peak dryer % with broken machines shaded (reduced fleet capacity)
Growth pattern: Staff washer peaks have escalated dramatically from ~7-18% in August to consistent 25-44% spikes in January-February — the W&F operation is absorbing increasing amounts of washer capacity. Customer washer peaks remain volatile (10-55% range) with Sunday surges. Dryer utilization shows an upward trend from Aug-Sept baseline of 36-50% peaks to Dec-Jan peaks of 50-76%, with Jan 31 hitting the all-time high of 75.9% combined dryer utilization.

Maintenance impact: The fleet started with 4 chronically broken dryers (D09, D55, D57, D58) reducing effective capacity by 7%. D09 remained broken for 165 consecutive days. Repairs accelerated in January, and since Feb 3 the entire fleet is operational — zero broken machines for 14 days. This 7% capacity restoration explains part of the ability to handle higher utilization in February.

Notable Anomaly Events — Top Observations by Category
Busiest Customer Days (Washer Peaks)
Days with highest single-hour customer washer utilization
Busiest Customer Days (Dryer Peaks)
Days with highest single-hour customer dryer utilization
Date Day Hour Category % In Use Context
Anomaly Events Over Time — All 368 Flagged Hours
Hours Exceeding 2σ — Date vs Hour (corrected local time)
Each dot = one hour on one day exceeding 2 standard deviations. Color = anomaly type. Size = intensity.