EXAMPLEs Of CHALLENGES
👉 How innovation can help you modernize your loyalty program?
Traditional loyalty programs are no longer effective and that more and more shoppers are simply turning their back on them. However, it is not that simple for a retailer to start over and make a complete shift to a new loyalty program. How can innovation and technology help a retail company rethink its existing redeem system and make it more appealing ?
Materials
hackers will be provided with all the data regarding the existing loyalty program, as well as selected mentors to answer their questions.
Judging criterias
The solutions are judged based on the novelty of the approach, scalability and technical feasibility in the retailer's ecosystem.
👉 Leveraging on DATA
Consumers' behaviors and needs are moving at a very high speed. But thanks to all the data collected across multiple channels, retailers and e-commerce companies, supposedly, have all the information that they need to develop a targeted, more personalized loyalty ecosystem. The challenge for the hacker teams will be to gather all this data and design a tailored and differentiated loyalty program.
Materials
Hackers will be provided with all the data regarding the existing loyalty program, the client database, as well as selected mentors to answer their questions.
Judging criterias
The solutions are judged based on the novelty of the approach, scalability and technical feasibility in the retailer's ecosystem.
👉 KISS Principle
We live in an excessively connected world with many customer touchpoints as brands interact more and more with customers. We have multiple accounts in two or more devices, with highly secured passwords and it’s not easy to remember them all. As a consequence some shoppers may experience trouble, not only when trying to access their account and but also while trying to navigate and find the correct information regarding benefits, accumulated points, past purchases, etc. How can we use technology and innovation to create one single and simplest point of entry for customers and ease the use of loyalty programs?
Materials
Hackers will be provided with all the data regarding the existing loyalty program; as well as selected mentors that can answer their questions.
Judging criterias
The solutions are judged based on the novelty of the approach, scalability and technical feasibility in the retailer's ecosystem.
👉 A.I. to bring the customer back
Artificial Intelligence and machine learning are powerful tools that can grant absolute advantage to the retailer who knows how to use them. Thanks to them, it has become possible to anticipate a customer's next move, need or interest. Which implies that instead of sending shoppers offers about things they liked, the new loyalty program would predict and recommend new products or experience and take things to the next level. The challenge for the hacker teams will be to present a new loyalty program involving Artificial Intelligence and/or machine learning.
Materials
Hackers will be provided with all the data regarding the existing loyalty program, access to A.I. technologies; as well as selected mentors that can answer their questions.
Judging criterias
The solutions are judged based on the novelty of the approach, scalability and technical feasibility in the retailer's ecosystem.
