Whitening app UI/UX

WHITENING

for washing and dry cleaning

Whitening offers washing and drycleaning solutions across the country. With an intuitive inteface, we have transformed the hardest weeklong chore into a breeze all to your own convinience.

The Challenge whitening runs a dry cleaning and laundry service centres all over the city. Customers can go over to one of their centres, give clothes for washing or dry-cleaning and get a date on which they can come back to pick them up. They need to get the best experience out there for their customers.

The Research

Before understanding the market, we should understand what the service is all about

Laundry service is a decade long business which has a traditional face to it. The market is disorganized and the services are divided into washing, ironing and dry-cleaning. The growing industry is expected to reach 5250 billion rupees by 2018.

Traditional service ow

Dhobis comes to neighbourhood

collects clothes for washing

Stacks in bundles of cloth

Washing

Returns cloths to household Iron cart comes to neighbourhood

customer gives clothes

Customer drops clothes at the shop

divides clothes for speciďŹ c washing

Ironing

Delivery

washing

customer pickup / delivery

Smartphone penetration and washing machine is changing the landscape

The on-demand services are more organised and are accountable. They have standardised pricing and are more professional. The urban population prefer online platforms because of conveineince. The current 12 million online consumers is expected to grow by 20% .

27.5%

3-5%

of urban household have washing machine

of organised business in indian market

Age factor >60 more ďŹ nancially sound and less physicaly capable of handwashing 35-59 prefer traditional methods and hand washing 21-34 seeks convience and keen on trying new methods Modern service ow

Schedule

Pickup

washing/ ironing/ processing

delivery

There are hand washed and machine based solutions given by laundry services. Most services are located in urban areas.

Traditional laundry sector

On-Demand laundry sector Vs

Faster processing time More knowledgeble staff Delivery tracking ability less human factor

Most trusted Cost-effective More customer interaction

Insights on service Washing, ironing is a daily process and is most demanding.

Sarees and shirts are given for starching; usually the expensive and dress that are emotionally attached. Starching is also called as fabric softening.

Dry cleaning is usually reserved for speciďŹ c clothes and usual clothes with stains difďŹ cult to remove. The service can take about 2 days to a week based on the store. People give more clothes for drycleaning while festivals, family functions and auspicious occassions

Ironing

Washing

Dry cleaning

Personas coupled with the data gathered, outstanding profiles gathered from the demographic

Swathy Krishna

Raghav Bindra

Age 30 Mother of 2, Java programmer at an IT firm

Age 43 Father, Entrepreneur in manufacturing

Swathy has 6 years of experience after doing masters in computer science and engineering. She works at an IT MNC firm as java programmer from Monday to Saturday 10am - 6pm. It takes an hour to reach office, so morning are quite busy with getting for work and making her children ready for school. Still, she still manages to make breakfast and lunch for her, husband and children in the morning.

Started his own business 15 years ago in a town industrial area.

It takes two hours to reach his factory. His factory timing is 9am - 5pm, but he reaches by afternoon to check the assembly lines, workers and finances.

Smartphone is an integral part of her life. Still she is not very tech savvy, but knowledgeable enough to pay bills online. She keeps reminders to schedule payments.

Though she can afford a washing machine, she find it very convenient to just give laundry to a dhobi coming to collect clothes in their apartment. She is very particular about treating clothes. Dry cleaning is also given to the same person, but is packed separately. She has asked for dhobi to return clothes to neighbour because of her office timings.

He uses a smartphone and a normal phone. The smartphone works as his address book and does payments online. He prefers meeting people directly than having a video call. He believes a human approach can bring out a better connection with people.

Daily use clothes are given for washing in the morning. He gives it as a bundle for the person to sort out. Occasionally; suits, children’s uniforms, family partywear is given for dry cleaning. He usually drops at the laundry centre in the morning before going to office. All his family’s clothes are given for washing. He prefers talking to the laundry store’s reception.

Manjusha Arora

Mithun Chakraborthy

Age 72 Retired teacher

Age 25 Single, Advertising consultant

A retired teacher who lives with her husband. Her daughter has appointed a caretaker to look after her and her husband because of their old age. She still like to read and do cooking.

Started his job 2 years ago after studying commercial arts.

Stays away from his family with his friends. He is good at creating art for Out of Home advertising and writing scripts for TV advertising.

She uses smartphone to call her children. She learned to do video call and does it with her children and grandchildren on weekends. Her grandchild has taught her to buy online to get her a gift.

The maid does washing, but expensive clothes, blankets and rugs a given for dry cleaning. Maid does the booking as per manjusha’s instructions

He is very tech savvy and changes his phone every 4-5 months.

He orders food from Zomato, goes to his ofďŹ ce on UBER and shops with PayTM. though enthusiastic and full of energy, he is lazy when it comes to cleaning his room and washing clothes. He books online the closest laundry service when clothes become too smelly to wear.

Insights on personas Demographic ranges to all ages Human factor is preferred for ages above 30 Service request is usually from one single location Flexible booking timings and traceability Is a priority The user may not be knowledgeable about the washing process preferred for each material.

Apps in the market Extensively studying interaction, layout and aesthetic of current market, i found each app having it’s own qualities.

While laundrokart worked in less screens, laundrykart topped with an extensive list of cloth types and visibility. Toolr gave different options for the service while i found the pickmylaundry app’s service duration quite curious.

Laundrokart

Laundrykart

Toolr

Pickmylaundry

The application should provide a simple interface where the service needs to be exible according to customer preference; considering his/her priorities.

Detailed Service Breakdown

User Registration

Name

Address/location

Collection/ Delivery location

Payment Details

Bringing conveince of technology and emotion of the traditional business.

Order Creation

Collection

Number of clothes

Notification

Types

Schedule Pickup

Price Estimation

Payment

Delivery Time

Schedule Delivery

Notification

Call

Processing

Timings

Comments/ cleaning status

Contact Shop

Delivery

Feedback

Contact delivery person

Rating

Re- schedule

Request and suggestions

NotiďŹ cation

References https://inc42.com/buzz/indian-on-demand-laundry-sector/ https://yourstory.com/2016/05/on_demand-laundry-startup-challenges/ http://fhc.biosciences.dupont.com/consumer-trends/consumer-studies/indian-consumer-laundry-study/ https://www.forbes.com/sites/suparnadutt/2017/04/12/indias-76b-laundry-market-and-the-startup-thats-tapping-into-it/

Scenario Buffer

customer

Selects clothes

Booking

Delivery

Delivery en route

confirmation

Status Notification

Delivery completed

completion

Reschedule delivery

Buffer another address, neighbour

Payment

Schedule pickup

Status Notification

Processing

Schedule delivery

Service Pickup

confirmation

Wireframing booking

IRONING

every interaction is accesible from homescreen. Pending orders, processing orders will come as notiďŹ cations whlle services listed as washing + drycleaning + ironing and ironing

customer can select clothes from categories from tabs and add number of clothes there itself.

clothes for ironing cannot be mixed with dirty clothes sent for drycleaning and washing

selected clothes can be put for ironing

Wireframing Scheduling and Payment

User can put in clothes for a scheduled pickup, or can continue booking at a later time from notifications

invoice and payment in one page

A confirmation and a delivery date scheduling

A confirmation and a delivery date scheduling

Wireframing NotiďŹ cations

A simple3 step status for quick glance

A detailed description when expanded

A simple call or a message can help out with some last minute decisions

Stylescape

Hi Fidelity screens

Reach everything you need in a single screen

Introducing Baskets

All the dirty clothes goes in the basket. Schedule it when it needs to be sent for washing. You can also add seperate baskets.

and give it when you want to

Save cards for Place fasterorder payments and give it when you want to

Give a call or send a message to make changes, or if you want to pick it yourself from store one click to see status and give it when in detail you want to

A simple notiďŹ cation also can get things across Send a note

Change your address if you are relocating

for washing and dry cleaning

THANK YOU