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How Personalization Will Look Like in 2025?

16. November 2018 Chris , , , , ,
How Personalization Will Look Like in 2025?
Personalization techniques are trending these days and experts predict, that businesses will increase their profit by up to 15 % in a few years with the help of smart personalization. So let us take a short, highly subjective look into the near future of how personalization will look like in 2025.

ChrisHow Personalization Will Look Like in 2025?
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The Difference Between Recommendations and Personalization

24. October 2018 Chris , , , , ,
In lots of articles on the web about recommendation engines the terms Personalization and Recommendations are used equivalent whereas they are definitely not.
This blog post will shed some light on the difference between recommendations and personalization and how to distinguish both.

ChrisThe Difference Between Recommendations and Personalization
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How to Build an Alexa Skill for your Online Shop with Recolize in 15 Minutes?

9. August 2018 Chris , , ,
Building an Alexa Skill is very easy if you combine it with Recolize personalized product recommendations. In the following I will describe the required steps and during the course of this blog post we will develop a sample skill that you can use as a starting point for your individual skill. The sample skill is available on our Github account.

We will create a so-called Custom Alexa Skill that will be able to simply answer the question “Alexa, open Recolize and ask what can you recommend to me today?” or “Alexa, open Recolize and ask what is the recommendation for today?“.
Therefore we need the Skill definition and additionally a AWS Lambda function that will trigger our Recolize recommendation API. The beauty of AWS Lambda is that you do not need to provision any servers but the so-called serverless framework will only be active if someone asks Alexa to trigger your skill. For more information on AWS Lambda functions see the official documentation.

We use the official Ask CLI commands to easily deploy both the skill itself as well as the Lambda function that will call the Recolize API.

ChrisHow to Build an Alexa Skill for your Online Shop with Recolize in 15 Minutes?
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Show more with the Recolize Carousel

3. December 2015 Chris ,
The recommendations generated by our Recolize Recommendation Engine are delivered in the form of a carousel by default:
Recolize Karussell

A carousel is a component that contains a list of elements (preferably images) that can either be horizontally or vertically displayed. The navigation works in both directions (left-right or top-down) and may additionally be created with or without an animation, e.g. a blending effect.

(Source (German))

The carousel is nowadays used on a variety of websites as preferred display format (e.g. the Facebook Carousel).

ChrisShow more with the Recolize Carousel
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Improve the conversion of your search results with Searchanise and Recolize

30. October 2015 Chris ,
An outstanding search is by no means self-evident in the e-commerce space. How often does it happen that you cannot find the right products via the shop search because of mistyping the search term or static pages like the FAQs are not searched automatically.
This is exactly the point where Searchanise comes into play and replaces the default Magento and Shopify search algorithms with a completely novel product search.
Searchanise offers mistype correction, a product preview, promotion tools and extensive analytics possibilities. Moreover it is completely free of charge up to 25 products.

ChrisImprove the conversion of your search results with Searchanise and Recolize
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10 ways to optimize your conversion rate with personalized recommendations – part 2

7. October 2015 Chris , ,
In the first part of the series we showed how you keep your customers browsing on your website and how to present the best offers. In this part your customers gain inspiration through completely individualized product lists and we integrate the supermarket checkout shelves into your online-shop.

Chris10 ways to optimize your conversion rate with personalized recommendations – part 2
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