Revenue and ticket performance
Review revenue, ticket count, average ticket, period trends and service contribution.
Business Truth Intelligence™
Business Intelligence Built from the Data Already Inside the POS
Use tickets, items, customers, payments and pricing to identify performance, customer recovery, collection exposure, service mix and next actions.
Customer lifecycleRevenue and service mixCollection exposureCampaign opportunities
Business Intelligence Built from the Data Already Inside the POS
DRY CLEANING MADE EASYDCMEasy POS workflow
LiveCOUNTEROrders
FACTORYProduction
CUSTOMERSSMS Ready
COLLECTIONControl
Drop off→Track→Produce→Pay→Collect
01Front counter ticketCustomer, garments, due date and paymentReady
02Production visibilityItems, status, notes and assemblyLive
03Customer communicationSMS, payment and pickup pathwaySent
The direct answer
What dry cleaning business data should tell the owner
A report should not stop at total sales. The owner needs to know which customers returned, which services grew, where payment is delayed, what is sitting uncollected, which prices are leaking and which customers can be recovered with a relevant campaign.
Built for the whole workflow
- Performance and capability
- Customer lifecycle
- Paid and unpaid timing
- Pricing and discounts
- Growth and campaign opportunities
Verified capability
Software that follows the work
DCME connects the practical steps that happen across a garment-care business rather than treating every order as a simple retail sale.
Customer lifecycle
Identify new, repeat, VIP, one-time, sleeping, lost and recoverable customers.
Payment and collection truth
Measure pay-now, pay-later, unpaid, pickup timing and cash held in completed work.
Pricing leakage
Review discounts, adjustments, item choices and missed price additions.
Campaign audiences
Create service, seasonal and return-behaviour segments for controlled SMS marketing.
Owner action plan
Rank what should be fixed, sold, recovered or monitored over 7, 30 and 90 days.
Connected workflow
From customer arrival to completed order
Each stage keeps the customer, ticket, items, payment and operational status connected.
Read the operating data
Use customer, ticket, item, payment and price information already recorded.
Clean and map the fields
Separate retail front-counter work, accounts, voids, refunds and incomplete records correctly.
Calculate business truth
Measure performance, behaviour, timing, risk, pricing and opportunity.
Build owner actions
Convert findings into practical priorities and target groups.
Track before and after
Measure whether pricing, collection, campaigns and service changes improved the result.
Operational depth
Control the detail without slowing the counter
The system can be configured around the services, people, locations and reporting requirements of the business.
Performance
Know what the business produced.
- Revenue and ticket count
- Average ticket
- Service mix
- Seasonal movement
- Store and period comparison
Customers
Know who returned.
- Repeat behaviour
- Top customers
- Lost and sleeping customers
- Service-specific segments
- SMS-ready audiences
Control
Know what is leaking.
- Unpaid and collection risk
- Discounts and adjustments
- Void and refund truth
- Pricing capture
- Action tracking
Who it serves
Choose the workflow that matches the business
DCME can support a single operation, a plant with agencies, or a connected multi-store group without forcing every business into the same operating model.
One-store business
Turn the existing POS history into clear pricing, customer and collection actions.
Multi-store group
Compare locations, customer activity, service mix and operating signals.
Business review
Use structured data rather than impressions when reviewing performance or opportunity.
Direct answers
Questions buyers ask
Clear software decisions come from clear questions. These answers describe DCME’s current product direction and commercial terms.
View all FAQsDoes Business Truth require replacing the POS?
No. DCME Business Truth can analyse exports and data from existing systems as a separate pathway. The connected DCME POS provides deeper ongoing context.
Can it identify customers who have not returned?
Yes. Customer lifecycle and service-specific return analysis are core use cases.
Can reports separate front-counter work from accounts?
Yes. Strict filtering can be applied where the data contains enough information to distinguish the work types.
Continue your research
Related software and business pages
Australian garment-care software
See this workflow working inside DCME.
Book a practical demonstration using your store type, services, terminal requirements and future technology plan.