One Heart Cleaning Service Web App

Overview

The One Heart Cleaning Service Web App is a comprehensive online platform designed to streamline the process of booking cleaning services for residential and commercial spaces. Developed by Weavers Web Solutions Pvt. Ltd., this platform provides an efficient, user-friendly interface that allows users to easily schedule and manage cleaning appointments, specify cleaning areas, and process payments. With multiple user roles including customers, staff, and administrators, the platform is designed to meet the needs of various stakeholders.

Background

The primary objective of the One Heart Web App was to create an easy-to-use platform for customers to schedule cleaning services while also providing administrators with powerful tools for managing and overseeing bookings, payments, and staff assignments. The app caters to individual users and corporate clients looking to maintain a clean environment with minimal hassle, providing various cleaning options and customized booking features to suit each client’s needs.

Functionalities

• Customer Sign-up: The landing page serves as the entry point, displaying a call to action for general or professional cleaning services. Customers can sign up with basic information and address details, which can later be used for booking.
• Login and Password Management: Allows registered users and admins to log in securely and reset passwords through OTP-based verification.
• Dashboard for Customers: Displays upcoming bookings, payment status, pending orders, and user account management options.
• Booking Module:
  • General/Regular Cleaning: Includes options for frequency (daily, weekly, biweekly, etc.), time slots, and specific cleaning areas.
  • Professional Cleaning: Allows users to choose specialized services like post-renovation cleaning or deep cleaning for specific areas (e.g., upholstery, flooring).
• My Bookings and Orders: Lists all active and historical bookings and orders, showing details like date, time, service type, staff assigned, and payment status.
• Payment Integration: Offers options to pay via Hitpay, credit cards, or QR code, with a detailed breakdown of charges.
• Profile Management: Allows customers to manage profile information, view address details, and update personal information.
• Admin Dashboard: Provides a comprehensive view for administrators to manage orders, staff, customers, and reviews.
• Job Scheduling and Staff Management: Enables admins to schedule jobs, assign staff based on availability and skill, and view staff performance.
• Discounts and Promotions: Allows administrators to create and manage discount codes and promotional offers.
• Reports: Provides reports for tracking sales, orders, staff performance, and customer behavior, helping the admin make informed business decisions.

Key Achievements

• User Engagement and Satisfaction: The platform provides a smooth user experience from booking to payment, enhancing customer satisfaction.
• Efficient Staff Management: Advanced scheduling and staff management tools help ensure that jobs are efficiently assigned and managed.
• Revenue Tracking: Integration with Quickbooks and real-time sales reports enable the company to monitor financial health closely.
• Enhanced Operational Efficiency: Automation of job scheduling, payment tracking, and reporting tasks has streamlined administrative processes.
• Data Security and Compliance: AWS infrastructure ensures secure data storage and compliance with industry standards.

Challenges and Recommendations

• Challenge: Handling complex scheduling requirements while ensuring that staff availability aligns with customer bookings.
  • Recommendation: Implement a real-time availability checker and enhanced logic for matching staff based on location, job type, and skill.
• Challenge: Managing high-volume data migration from Firebase to AWS.
  • Recommendation: Conduct incremental data migrations to ensure smooth transitions and avoid data loss.
• Challenge: Ensuring the app remains responsive and performant under heavy user load.
  • Recommendation: Optimize server responses and use caching techniques to handle peak loads.