Case Study | SmilePay - Vend with a smile

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SmilePay – Vend with a smile

Smile to Quench Your Thirst – Innovative Beverage Vending Machine

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Project Overview

Project Name

SmilePay - Vend with a smile

Industry

Objective

Introduction

Project Introduction

As part of a promotional campaign for a popular beverage brand, we designed a vending machine that allowed users to pay just with a Smile!

Problem

THE Problem

We were approached by our client to design an innovative promotional campaign for a newly launched beverage. The campaign goal was to attract an audience, get people talking about the product and gain social media traction. Part of the campaign was to allow customers to go in the running to win a year’s supply of the newly launched product.

Solution

The Solution

We designed an innovative vending machine application with Flutter for Android OS that allows users to pay for the beverage with just a Smile! Not only that, the application captures the smile and gives the user an option to share it on social media to enter a lucky draw and win prizes.

How It Work

Here's how it works

It puts out accurate job specifications and leverages AI to produce job postings that reach the suitable candidate.

I searches career portals and social media for top candidates, and automatically matches resumes to job descriptions, ensuring only the most suitable candidates are shortlisted

The platform helps with interview questions and provides specialized tests to assess candidates’ skills.

Facilitates the job offer to negotiation and final onboarding process to its best capabilities

━ Key Features

We used Deep learning and computer vision models optimized for mobile devices to detect people in a frame, if they are close enough, we check if they are smiling and capture an image.
We used state-of-the-art image segmentation models optimized for edge devices to replace the person’s background with beautiful scenery reflective of the location the vending machine is placed in.
A QR code generated by the app on vending machine directed users to a web page where they can view, save their photos, and also share them on social media to enter a lucky draw.
The system includes a feature that allows users to add custom captions or text overlays to their captured images before sharing them on social media, making the images more engaging and personalized.
The app includes a leaderboard that displays the top users who have captured the most photos at the vending machine, incentivizing users to return to the machine and capture more photos for a chance to win the lucky draw.

Technologies

Tools & Technologies

Feedback

Client Feedback

“This platform has already made a huge difference. The amount of time we’re saving is incredible, and the automation is working exactly as we hoped.”

Martyn

Results

Deliverables:

It puts out accurate job specifications and leverages AI to produce job postings that reach the suitable candidate.

I searches career portals and social media for top candidates, and automatically matches resumes to job descriptions, ensuring only the most suitable candidates are shortlisted

Benefits:

The platform reduces the proportion of manual tasks in the recruitment process to a very minimum, thus allowing HR professionals to focus on more strategic work.

CV matching and candidate assessments through AI help the platform avoid human intervention and shorter time-to-hire, and decrease the possibility of hiring the wrong people.

It is extensively cost-effective because, through automation, it eliminates burdensome tasks and thus is able to conduct recruitments at relatively cheap costs

━ Conclusion

The innovative vending machine that allows users to pay just by smiling proved to be a huge hit and generated a lot of buzz for the beverage brand. It was an excellent example of combining technology, marketing, and consumer behavior to create a unique and engaging experience. The use of facial recognition technology demonstrated the potential of incorporating cutting-edge technology into traditional marketing campaigns.