Laundry Care Dashboard
- 2 Backend engineers
- 2 Front-end engineer
- Product manager
- AWS services
- Web application
- Backend application
- Database designing
Laundry and Delivery
The client was running a laundry business where users could place laundry orders, riders could pick and deliver laundry. Their business was going well and already expanding in different states of the USA. Since the laundry business was growing, they were in a need of an application where they could manage all orders, see the progress, offer customer support and make sure everything is going well.
The client came up with an idea that let’s build a dashboard where they can manage all of their operations. The real issue was to track the progress of the orders so in any case if customers call support, agents can check the progress and respond quickly.
We started with a very thorough and careful business analysis in order to get a detailed understanding of all the operations. We also talked to customer support agents and laundry business managers, analyzed their nature of business. This allowed us to build a very accurate flow of the dashboard.
The system comprised of a ReactJS web application that could run on mobile browsers as well. Users could view all orders,
orders progress, and all other stats of earning. We also gave filters that helped the business owners to understand which
service (wash, air-dry, stain removing, etc) is most profitable for them in the overall business. A complete customer
support feature was also integrated into this dashboard.
Technologies That Will Move You to The Top
The key system features:
- The customer support feature was integrated into the dashboard
- Business managers could review revenue stats
- Personalised suggestions based on user behavior analytics
The system is comprised of a ReactJS web application that could run on mobile browsers as well. Users could view all orders, orders progress and all other stats of earning. We also gave filters that helped the business owners to understand which service (wash, air-dry, stain removing, etc) is most profitable for them in overall business. The dashboard had different acccess levels like admin, business managers, operation managers and customer support.
A complete customer support systesm was also integrated in dashboard. Customer support agents could create tickets for issues faced by cutomers, these tickets could be assigned to operations managers, after updating the ticket as resolved by the manager, an auto notification was being sent to support agents which helped them to communicate with customers about their issue status.
This dashboard does not only support operations and customer support, it has also features of hiring washing and delivery staff. Operation managers can support daily progress and targets from this dashboard.
The most exciting thing about this project was that, by coincidence, at that time our R&D department had been working on extracting value from the datasets that were very similar to those the customer could build with our system. So we offered building a personalized suggestions feature that learns frequent users’ laundry ordering trends and peak order days/timing. We took our model as a basis and customized it according to the customer’s needs. The smart suggestions machine learning model proved to be able to upsell up to 20% for the frequent user segment.