E-commerce Architecture
SAP Hybris Deep Dive Channel (requires SAP ID)
A new enablement channel for customer and partners working on technical topics.
There is only one video yet,
SAP Hybris Service Factory – What, Why, How?
Microservice Architecture for eCommerce – free eBook
A great introduction to microservices: best practices, case studies, technologies and patterns. The book is compact, but clear, concise and very focused on the topic.
Recommendation engines, AI and Machine Learning
Image similarity: Filling attribution gaps with image recognition without a training set. The solution is great for solving the issues of misattribution and creating similar-image product groups for search and navigation purposes.
Deep Learning Architectures explained in human language
Great introduction into the topic.
Ten Product Recommendation Techniques to Improve UX and Conversions
- Popular products
- Rating-based recommendations
- Personalized recommendations
- Similar products
- Collaborative filtering
- Personalized CF recommendations
- Cart recommendations
- Recommending accessories
- Frequently bought together
- Best sellers
- Zero results and 404 pages
The link:
Seven examples of AI in retail and e-commerce
Take a closer look at some of these interesting companies integrating AI into retail and e-commerce technology:
- Real-time Pricing & Incentives (granify)
- Real-time Product Targeting (reflektion)
- Natural Language Search (andstructure)
- Visual Search (grokstyle)
- In-store visual monitoring (cosy)
- Predictive Merchandising (celect)
- Multi-Channel Marketing (AgilOne)
The link:
UX and UI and Marketing
Seven best practices for superior eCommerce site search
- Have a prominent search bar with autosuggest
- Show relevant suggestions in a drop-down search to give your customer an idea of the depth of your product range
- Show most popular products below relevant search results
- Display prices along with product suggestions
- Unclutter your homepage and make the search box visible
- Don’t go overboard experimenting with the UI
- Try out the unusual
Link:
Eight design patterns for Autocomplete suggestions
- Style Auxiliary Data Differently
- Avoid Scrollbars & Keep the List Manageable
- Highlight the Differences
- Support Keyboard Navigation
- Match User’s Hover Expectations
- Show Search History
- Reduce Visual Noise
- Consider Including Labels & Instructions
Read more:
https://baymard.com/blog/autocomplete-design
Implementing autocomplete search for large-scale e-commerce catalogs as an add-on service, integrated with the existing search engine and e-commerce backend.
Seven Product Page UX Implementations that make REI Best-in-Class:
- All Products Need At Least One ‘In Scale’ Image (28% Get It Wrong)
- Allow Users to Purchase Temporarily ‘Out of Stock’ Products (68% Don’t)
- Avoid Sneaky Displays of ‘Free Shipping’ Promotions (8% Don’t)
- 5 Requirements for the ‘Ratings Distribution Summary’ (65% Get It Wrong)
- Provide Both Site-Authored FAQs and Community-Driven Q&As (70% Get It Wrong)
- Provide a Cross-Sell Section that Only Contains ‘Alternative Products’ (28% Don’t)
- Provide a Cross-Sell Section that Only Contains ‘Supplementary Products’ (47% Don’t)
Read more:
Holy grail of e-commerce conversion optimization: 91 points checklist
David ACDC
3 April 2018 at 14:43
Reading about Image Similarity in thinking in a interesting PoF where using Google Custom Search with image searching capabilities, for example
1º Customer take a photo in the store
2º Uploads to online Store and search using Google API what are the article o similars showing the stock levels, prices, etc.