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AN INNOVATIVE APPROACH FOR PROMIXITY MARKETING THROUGH IoT

Shriram KV

Shriram KV

Bengaluru, Karnataka

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  • 0 Collaborators

We intend to build a proximity sensing and product recommendation system using BLE Beacons, Android app and Web application. The Android app will sense customer’s proximity using beacon data and deliver customer specific recommendations. The web-app will be an interface for store owner to add/delete/modify product/section information. The use-cases that will be covered are,  Be in touch seamlessly with customers giving product recommendations/updates/offers real-time.  Boost the sales for the sellers/vendors.  Help visitors navigate through the store without spending much time and visiting in person. Using BLE Beacons and Android/Web technologies product details and offers can be seamlessly integrated in the context of a customer’s proximity. Based on the consumer’s previous purchase history, the offer/product mappings are further triggered. This avoids over-invasive shopping experience while correctly engaging consumers in proximity. Customers shall be given inputs only in the way they like it! ...learn more

Project status: Published/In Market

Internet of Things, Artificial Intelligence

Intel Technologies
Intel Python

Code Samples [1]

Overview / Usage

The Motivation
Connecting with consumers while they near a business or shop and to put them into action is the main
purpose of the proximity sensing and marketing. Phones are a basic necessity of the 21st century, considering
that more than six billion digital phones are in the hands of customers today and while the numbers are
increasingly climbing. This makes just about every consumer with a mobile-phone increasingly open to a
proximity marketing strategy. Taking the case of mobile phone messaging, it’s good to consider an add-on to
your strategy. Notably, customers should not be receiving over engaging messages and would expect privacy
from unexpected contact points.

  1. 75% of US retailers have integrated BLE beacons into their marketing campaigns and have seen a 9%
    increase in profits and 175% ROI. [6]
  2. According to Business Insider, at the end of 2018, retailers have had 3.5 million active beacons.
    a. The report says, ‘Market for Proximity Marketing,’ the market worth is expected to be worth
    USD 52.46 billion by 2022, at a CAGR of 29.8% between 2016 and 2022.
    b. During this forecast period, BLE beacon-based proximity marketing is predicted to grow at
    the highest CAGR.
  3. 60 million customers can be expected to use BLE beacons by the end of 2019, and more than 400
    million beacons are to be deployed by 2020

Methodology / Approach

The system is a combination of Hardware and Software.
b. It is proposed to use Intel Distribution for Python for increased accuracy and efficiency.
c. The system is expected to promote the products based on the user preferences and the purchase history, thereby not intruding with unnecessary messages and alerts.
d. The system enables shop keeper to reach the right and the potential buyer instead of reaching everyone.
e. The system is 100% real time and shall not require many resources and the end users need not learn anything new.
f. Visitors of the mall (buyers) shall be just provided with Android application which takes over the entire process.
g. The beacons and the hardware setup is scalable, affordable and are all one time investments

Technologies Used

  1. AWS
  2. IoT
  3. Intel Python Distribution
  4. Cassandra
  5. Flask API
  6. RFM

Repository

https://youtu.be/vsfk79fJuw0

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