Dry Cleaning
Recover counter hours. Book more pickups. Keep more orders moving.
Your team should not be losing revenue because the phone rings during the rush, customers ask the same order-status questions, route pickups get missed, or managers rebuild store reports by hand.
MVP.dev builds AI automation systems for dry cleaners that plug into the tools you already use, including CleanCloud, SPOT, SMRT Systems, CompassMax, Enlite, Liberty Touch Control, Cents, Geelus, Fabricare Manager, QuickBooks Online, Route4Me, OptimoRoute, Onfleet, Podium, Birdeye, Mailchimp, and Twilio.
We help dry cleaners answer more calls, book more pickups, reduce counter interruptions, reconcile faster, and give owners cleaner visibility across stores, routes, and production.
Production-ready in 3 to 4 weeks.
Get a Workflow Fit Assessment See the Dry Cleaning Automation DemosBuilt for cleaners with steady demand, but too much work stuck at the counter
This is for single-location cleaners, multi-store dry cleaning operators, pickup and delivery cleaners, wash-and-fold teams, and plant operators that already have customer demand but are losing hours to calls, manual lookups, route coordination, reporting, and back-office cleanup.
You are likely a strong fit if:
- Your staff misses calls during morning drop-off, afternoon pickup, or production rushes
- Customers call to ask if an order is ready even though the answer is already in your POS
- Pickup and delivery bookings still require too much manual texting or phone work
- Managers spend hours pulling sales, route, order, and labor numbers from different systems
- Vendor bills, supply invoices, and monthly expenses still get keyed into QuickBooks by hand
- You want workflow help inside your current dry cleaning software, not a disruptive software migration
If your cleaner is busy but still depends on staff memory, phone tag, manual status checks, and spreadsheet reporting, there is almost certainly time and revenue trapped inside the workflow.
The fastest wins we usually find
Missed-call recovery and pickup booking
Every missed call can become a lost pickup, a delayed order, or a customer who tries the cleaner down the street.
We build phone workflows that answer quickly, capture customer details, qualify the request, book pickups or delivery windows, send confirmations, and route edge cases to staff.
The goal is simple:
- Calls answered in under 1 second
- Pickup requests captured after hours and during rushes
- Confirmations sent by text
- Staff interrupted only when a human is actually needed
For many operators, this can recover 10 to 25 missed calls a week and reduce front-counter phone interruptions by 20 to 30 percent, especially during peak pickup and drop-off windows.
See the Voice Booker Demo →Order-status answers without tying up the counter
A customer asking if an order is ready is not a bad thing. Having staff stop production or counter work to answer it all day is the leak.
We build customer service workflows that answer common questions, check order status where system access allows, explain hours and policies, draft replies, and escalate garment issues, lost-ticket questions, or complaints to the right person.
Customers get fast answers about:
- Order readiness
- Pickup and delivery windows
- Store hours and cut-off times
- Pricing and service policies
- Issue escalation when something needs a manager
A typical cleaner can deflect 30 to 50 percent of repetitive order-status, hours, and policy questions while keeping staff in control of exceptions and customer-sensitive issues.
See the Customer Service Agent Demo →Supply invoices and back-office posting
Owners should not spend Sunday night entering solvent, hanger, packaging, route fuel, rent, and utility bills by hand.
We build invoice workflows that read vendor bills, match known suppliers, apply your chart of accounts, flag uncertain items, and prepare or post approved entries into QuickBooks Online when appropriate.
The workflow can handle:
- Recurring supplier invoices
- Plant and store expense coding
- Low-confidence review queues
- Audit logs for who approved what
For many small multi-store cleaners, this can cut 6 to 12 hours a month of owner or bookkeeper cleanup, while reducing coding mistakes on recurring vendor bills.
See the Invoice to QBO Demo →Store, route, and production visibility without spreadsheet rebuilding
If you cannot see sales, order volume, route activity, refunds, labor pressure, and repeat customers in one place, you are managing by feel.
We build owner dashboards that combine POS, accounting, marketing, route, and review data into one view with a weekly plain-English summary and recommended actions.
Each update can show:
- Sales by store or route
- Order count and average ticket
- Pickup and delivery demand
- Refunds, remakes, and complaints
- Labor or production bottlenecks
The goal is to replace 2 to 5 hours a week of manual reporting with a cleaner operating view owners can actually use before problems become margin leaks.
See the Executive Dashboard Demo →Your current tools stay in place
We build the workflow layer around your existing dry cleaning environment.
Supported and common systems include:
Your POS stays where it is. Your customer records stay where they are. Your staff keeps using the systems they already know.
We add the workflow layer that answers, books, routes, summarizes, reconciles, and writes back only where appropriate.
Three focused offers
Missed-Call and Pickup Booking System
For cleaners losing revenue because staff cannot answer every call, especially during rushes or after hours.
Includes
- Call flow mapping
- Pickup and delivery qualification
- Calendar or route booking workflow
- Text confirmations
- Escalation rules
- Customer handoff notes
- Workflow handoff documentation
Best for
- Pickup and delivery cleaners
- Multi-store operators
- High-call-volume locations
- Owners trying to reduce counter interruptions
Customer Service and Order-Status System
For cleaners spending too much staff time answering repeat questions and chasing order updates.
Includes
- Knowledge base setup
- Order-status lookup workflow where supported
- Policy and pricing answer drafts
- Complaint routing
- Manager escalation queue
- Cited internal answers
- Optional SMS or web chat support
Best for
- Busy front counters
- Route-based cleaners
- Wash-and-fold teams
- Cleaners with repeated status and policy questions
Owner Dashboard and Back-Office Cleanup System
For operators who need cleaner visibility into sales, routes, production, expenses, and customer retention.
Includes
- POS and accounting data review
- Store and route KPI dashboards
- Weekly operating summaries
- Invoice intake and coding support
- Exception reporting
- Owner review workflow
- Optional multi-location reporting views
Best for
- Multi-location cleaners
- Plant operators
- Owners managing by spreadsheet
- Cleaners trying to improve margin without adding office labor
Start with one workflow. Prove the ROI. Expand from there.
You do not need a full AI transformation project to get value.
The safest path is to pick one painful workflow, fix it, measure the results, and then expand once the system proves itself.
Most cleaners start with one of these:
- Missed-call capture and pickup booking
- Order-status and customer question handling
- Route pickup confirmations
- Supply invoice coding
- Owner dashboards
- Lapsed customer follow-up
This keeps the first project focused, measurable, and easier to approve.
Typical engagement range
Most dry cleaning automation builds start with a focused pilot.
Starter Workflow Pilot
Best for one high-value workflow
$7,500 to $15,000
Firm Automation Buildout
Best for multiple workflows or multi-location operations
$15,000 to $40,000
Ongoing Optimization and Support
Best for operators that want continuous improvement, reporting, new workflows, and support
$1,500 to $7,500 per month
Final pricing depends on workflow count, system access, call volume, route complexity, data quality, approval rules, and whether the workflow writes back into production systems.
The first step is not a giant commitment. It is a workflow fit assessment that identifies the fastest path to measurable ROI.
What waiting costs
Manual dry cleaning workflows do not just waste time. They quietly cap revenue and margin.
Every month you delay:
- Calls go unanswered during the exact hours customers are ready to buy
- Counter staff lose time to repeat status questions
- Pickup and delivery demand leaks into voicemail and text threads
- Owners rebuild reports instead of fixing store and route problems
- Vendor bills and expense coding pile up after hours
- Growth requires more front-counter labor instead of better systems
If your cleaner is already busy, automation is not a luxury project. It is how you create capacity without simply adding another person at the counter.
How the engagement works
Week 1: Find the highest-value leak
We review your phone flow, pickup and delivery process, order-status handling, POS workflow, reporting flow, invoice process, or customer follow-up process.
You get:
- Workflow map
- Automation opportunity ranking
- KPI targets
- Fixed-scope recommendation
- Implementation plan
We define success before building anything.
Week 2: Build against your real workflow
We connect to the systems, documents, exports, phone flows, route rules, customer policies, vendor list, or reporting data needed for the selected workflow.
We build around your actual operation, not a generic dry cleaning template.
Week 3: Test, tune, and review
We run real examples through the workflow in staging. For call and service workflows, this can include common customer questions, after-hours scenarios, pickup requests, complaint paths, and order-status edge cases.
You see:
- Accuracy results
- Exceptions
- Failure cases
- Confidence thresholds
- Review queue behavior
- Estimated time savings
Nothing goes live until the workflow is validated.
Week 4: Deploy, monitor, and support
We deploy the workflow, train the relevant users, monitor initial results, and support the first production cycle.
You get:
- Production workflow
- Dashboard or review queue
- Documentation
- Admin handoff
- 30 days of support
- Recommendations for the next workflow
Most builds are designed to pay back in 6 to 8 weeks of live use, depending on volume, labor cost, workflow scope, and how much owner or counter time is recovered.
Built for customer, payment, and operating data
Dry cleaning workflows still need to be controlled, auditable, and respectful of customer data.
Our systems are designed around:
- Least-privilege access
- Encrypted data in transit and at rest
- Human review thresholds
- Audit logs for system-assisted decisions
- Role-based access for owners, managers, and staff
- PCI-aware handling that avoids storing card data in the workflow layer
- Customer PII protection for names, addresses, phone numbers, and order history
- Clear separation by store, route, and user role
For cleaners with payment security, customer privacy, franchise, or multi-location access concerns, we design the implementation around your requirements from the start.
Example outcomes
| Workflow | Before | After |
|---|---|---|
| Missed-call handling | Voicemail, rushed callbacks, and lost pickup requests | Calls answered quickly, pickup details captured, confirmations sent |
| Order-status questions | Staff stop counter or production work to check tickets | Common questions answered, exceptions routed to the right person |
| Pickup and delivery routing | Manual texts, scattered notes, and route changes handled by memory | Requests captured, windows confirmed, route handoffs organized |
| Supply invoice coding | Owner or bookkeeper keys vendor bills into QuickBooks by hand | Recurring bills coded, low-confidence items reviewed |
| Owner reporting | POS exports, accounting reports, route data, and spreadsheets | One operating dashboard with weekly narrative and action list |
Why MVP.dev
MVP.dev builds AI business operating systems, internal tools, and automation layers for companies that need real operational outcomes, not AI experiments.
You get:
- 25 years of software architecture and delivery experience
- AI automation strategy and implementation under one roof
- Practical systems built around existing workflows
- Human-in-the-loop design where accuracy matters
- Clear KPIs before development starts
- Production-minded delivery, not prototype theater
The goal is not to impress your team with AI.
The goal is to give them time back, reduce operational drag, and help the cleaner produce more revenue with the people and systems it already has.
Building the operating playbook too?
Our partners at osforyour.business/dry-cleaning cover the org-design, process, and people side of running a modern dry cleaning business. We handle the execution layer that makes it run, so the system they help you design actually delivers the hours back.
Frequently Asked Questions
How much time or money can this save a dry cleaner?
It depends on call volume, store count, pickup and delivery volume, and how much admin work the owner is still doing. A common first target is 8 to 15 staff hours a week recovered from missed-call follow-up, order-status questions, pickup coordination, reporting, and invoice entry. For many cleaners, that can mean $2,500 to $8,000 per month in recovered labor capacity, captured pickup revenue, and reduced owner cleanup time. During Week 1, we define the target KPIs before the build starts.
Will this work with our dry cleaning POS?
In many cases, yes. We build around your current stack, such as CleanCloud, SPOT, SMRT Systems, CompassMax, Enlite, Liberty Touch Control, Cents, Geelus, or Fabricare Manager. The exact workflow depends on available APIs, exports, webhooks, email notifications, or approved integration paths.
Will this replace CleanCloud, SPOT, SMRT, or our current POS?
No. The goal is to improve the workflow around your current stack, not force a migration. Your orders, customers, pricing, and production workflow stay in your dry cleaning system. The workflow layer reads, routes, summarizes, books, and writes back only where appropriate and approved.
Can this handle pickup and delivery routes?
Yes. We can help capture pickup requests, confirm delivery windows, send reminders, prepare route notes, and connect with tools like Route4Me, OptimoRoute, Onfleet, Twilio, or your POS where supported. The first build usually focuses on the highest-friction part of the route workflow.
Can customers get wrong answers about orders or pricing?
We design review rules and safe fallback paths for that reason. The system can answer from approved policies, store hours, service lists, and connected data where available. If confidence is low or the issue is sensitive, it routes the conversation to a human instead of guessing.
Is customer and payment data secure?
We design the system around least-privilege access, encryption, audit logs, role-based permissions, and PCI-aware handling. We do not need to store card data in the workflow layer. Customer names, phone numbers, addresses, and order history are handled according to the access and retention rules approved for your business.
What is the first step?
Start with a workflow fit assessment. We identify the workflow with the highest ROI potential, estimate the time or revenue impact, and recommend a focused pilot. You will know what should be built, why it matters, what it should cost, and how success will be measured before committing to a full implementation.
Get the counter time and missed revenue back
If your cleaner is still relying on voicemail, manual callbacks, ticket lookups, text threads, spreadsheet reports, or after-hours invoice entry, there is likely a faster way to run the operation.
MVP.dev can help you identify the highest-value workflow, build the automation layer, and deploy it inside your current dry cleaning stack.
Get a Workflow Fit Assessment See the Dry Cleaning Automation Demos