Customer App_
The Customer Application is designed for ease, allowing customers to book laundry and dry cleaning services by browsing multiple vendors and their offerings.
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1
Nearby Vendors
Customers can search for laundry services from nearby vendors and also search for specific vendors or service categories.
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2
Vendor Details
Users can view and compare various vendors, choose services, add items to the cart, and customize their orders if needed.
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3
Push Notifications
Customers receive notifications upon placing an order, during service preparation, when the delivery person starts, and when the service is completed.
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4
Coupon Management
Customers can avail of coupon codes, promo codes, and offers provided by vendors or admins, applying them to their final cart to reduce the total amount.
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5
Multi Payments & Multi Language
Users can make online payments using the laundry booking app. We support Cash on Delivery (COD) as well. Razorpay, Paypal, Stripe, PayStack, FlutterWave, Paytm, SenangPay, MercadoPago, Payfast, Midtrans, 2checkout, Khalti Payment & digital wallets, and more
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6
Rating & Reviews
Customers can provide feedback, reviews, and ratings based on service quality, pricing, and overall experience.
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7
Referrals & Earn
This feature allows customers to refer the app to friends and family. Upon a successful referral, the credited amount will be added to the customer's in-app wallet.
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8
Offers & Promotion
Vendors can elevate their business transactions by providing various offers and discounts to attract more customers.
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9
Pay from Wallet
Customers can conveniently pay for services directly from their in-app wallet, ensuring quick and seamless transactions.
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10
Multi Cart
Customers can add services from multiple vendors to their cart, allowing for a comprehensive and flexible booking experience.
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11
Vendor Search
Customers can search for specific vendors or service types, making it easy to find exactly what they need.
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12
Light & Dark Mode
Enhance user experience with customizable theme options, allowing users to switch between light and dark modes based on their preferences and environment.