User experiences... without any physical product.
Helping people in Covid19 lock-down, knowing if they have CoronaVirus symptoms - And if they do, to guide them to seek medical aid and alert local medical authorities.
Finding out what are Covid19 symptoms and which one we can track from people' smart speakers.
WE learned which smart speaker technology can identify cough & sneeze & the difference between them.
We made a Google assistant app that react to "Achoo!" and after 3 times per day, opens up and asks users for their body temperature and guide them if they feel sick or having more than 39c body temperature. Align to this, we tested some sound bites of sneeze & cough and found a way to differentiate between them, by using ML codes on the visual of those sounds.
How to create comfortable interactions between a sales representative and a customer, while maintaining a safe social distance.
A Facebook Messenger's chatbot that serves as a sales representative. You only need to scan a QR code, login to Facebook's Messenger, and answer a set of questions related to which product you're looking for. Once you answer the questions, you'll receive all the items that match your query, and you can choose which one you want.
CHALLENGES WE RAN INTO
It was a challenge to find a real database to work with, and to learn a new API and new technologies such as webhooks.
Finishing the chatbot on time, and being able to customize and polish it.
Sarah enters a Cartier store. She follows the COVID-19's best practices: wearing a mask, and not getting too close to anyone, including the staff.
There is a screen with a QR code displayed and some instructions. She scans the QR with her phone, and the link opens Facebook Messenger; a chatbot attends to Sarah, creating a personalized chat.
The chatbot provides a series of questions in the form of quick replies: What type of jewelry are you looking for, Sarah? Rings, necklaces, earrings, or bracelets?
Which metal? White gold, rose gold, or yellow gold? What size? [...] Thanks, Sarah! Here are some items that match those characteristics. See anything you like? Awesome! The item will wait for you to try on.
Instagram doesn't let retailers add links to their posts, blocking seamless shopping experience
for "impulse shopping" consumers - losing revue for retailers that want to convert their massive Instagram followers into more sales.
After learning consumers shopping behavior in Pinterest and diving into Instagram API, I crafted a cloud-based SaaS that match up the right item's page to the right post, making users click "link in bio" and redirect (in less than 90 nano seconds) straight to the item's page. With any need to search or any extra registration.
Users loved it: 8X more CTR. We've made 26% growth to John Lewis traffic (from IG to site) - in 1 month.
Best Retail Startup in Europe - Google for Entrepreneur.
And we got into NatWest & Ignite Accelerators. And won John Lewis Investment.
There a growth in Knife crimes in London streets. People live in fear while gangs take advantage of no-weapon police officers. The challenge here was to find a digital way to alert the police, when there is a knife crime ASAP.
After doing a research on the "signals" that comes up when there is a knife crime event, I found an insight that people run as fast as they can, spreading the scene.
We tested a "fit bit" device to find the difference of jugging and running panic. And we've accomplished that: so from now on, any "fit bit" will alert the police the second people ran away form a knife crime scene. This way the police can get to the scene earlier than the current solution, when a victim is hurt and other people see that and call the police.