How Reflected Intelligence Can Make eCommerce Apps More Powerful

Consumers are spending more and more of their time on mobile devices instead of their desktop. While this has been a boon for marketers looking to reach customers through social media, email, QR codes and location based marketing, it’s had an overall detrimental effect on mobile e-commerce.

What is the problem with mobile? While most major retailers offer an app, the apps were basically an adapted version of the website. For distracted users with a small screen and no keyboard, this setup simply doesn't work. The consumer wants to find products relevant to them quickly without dealing with awkward links or search bars.

In other words, in order for an app to be effective, the content has to be different. Startups like BloomReach and major retailers like Walmart are already working on adapting mobile. How? By applying big data through reflected intelligence.

So, how can businesses use reflected intelligence to their advantage, specifically in improving the effectiveness of mobile apps for e-commerce? The possibilities are almost endless, but here are five to think about.

1. Mobile-Specific Design

2. Predictive Search

3. Product Recommendations Specific to Consumers’ Interests

4. Customer Recognition Across Platforms

5. In-Store Enhancement

Read my guest blog on CMS Wire for more on these possibilities.

Streaming Data Architecture:

New Designs Using Apache Kafka and MapR Streams




Download for free