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Smart Laundry Operations & Sustainability Analytics (Laundry Performance Analytics)
Processing Time Reduction: From ~3 hours/day manual checks to 15 minutes/day automated monitoring (≈ 92% faster)
Industry
Manufacturing & Industrial Services
Region
USA – Ohio, Michigan
Technologies
High Level
Engagement Model: We build it once. You run it with ease
Are your teams manually checking machine health and utility usage, with no real-time fault alerts or downtime tracking?
Monitors machine health, tracks usage, schedules preventive maintenance, and reports on water/energy consumption. Real-time alerts pinpoint exactly which machine is at fault.
Industry
Manufacturing & Industrial Services
Region
USA – Ohio, Michigan
Technologies
High Level
Engagement Model: We build it once. You run it with ease
Are your teams manually checking machine health and utility usage, with no real-time fault alerts or downtime tracking?
Monitors machine health, tracks usage, schedules preventive maintenance, and reports on water/energy consumption. Real-time alerts pinpoint exactly which machine is at fault.
Technologies (High Level)
- Microsoft Power Platform
- Azure Data Services
- Modern Web Frameworks
- Business Impact
- Processing Time Reduction: From ~3 hours/day manual checks to 15 minutes/day automated monitoring (≈ 92% faster)
- Accuracy Improvement: From ~88% manual accuracy to 99.5% automated accuracy
- Fault Detection: Pinpoints the exact machine causing issues within seconds, enabling samehour repairs
- Downtime Reduction: From ~8 hours/month per machine to < 1 hour/month (≈ 87% less downtime)
- Annual Labor Cost Before Automation: ≈ USD $85,000
- Annual Labor Cost After Automation: ≈ USD $20,000
- Net Annual Savings: ≈ USD $65,000 (76% reduction)
- Payback Period: < 6 months