1. E-Commerce
Merchandising
Pain Points

2. 1. Search Quality
2. Promotions
3. Landing Pages
4. Behavior Targeting
5. Insights

3. Search Quality
 Relevance: Are products in results a
close match for the visitor’s search
query?
 Spell checking and automatic corrections
 Synonyms and stopwords
 Natural language support

4. Relevance
 Relevance: Are products in results a
close match for the visitor’s search
query?
 Which fields in product catalog are given
priority?
 Are out-of-stock products considered for
a search query?

5. Relevance
 Can we sort search results based on
price?
 Can we separate imported versus
domestic products in search results?
 Can we eliminate false positives from
search results?

6. Spell Checking
 Can we detect and auto-correct spelling
errors?
 How do we prioritise a higher selling
product when two products match an
incorrectly spelled query?
 Can we detect spelling errors in queries
with three words and even four words?

7. Synonyms/Stopwo
rds
 Can we define “cellphones” and
“mobiles” to mean the same?
 Can we have “trimmer” to mean “shaver”
but not vice-versa?
 Can we ignore some words from queries
and products, for eg. Ignore “jewelry” for
an online jewelry site.

8. Natural Language
 Can we support natural queries like
“less than 500”, “more than 500”?
 Can we detect geographic queries like
“hotels around airport”
 Is there support for price ranges?

9. Promotions
 Can we promote only Samsung mobile
phones between Aug 10 and Aug 15?
 Can we display only highest margin
books for the query “Harry Potter”?
 Can we display only products from
Vendor X when visitors search for query
“laptop bags”.

10. Landing Pages
 Can we create landing pages on the fly?
 Can we define business rules for each
landing page separately?
 Can we display products from 2 stores,
sorted in descending order of price, and
with imported products after local ones?

11. Behavior Targeting
 How we display results with the highest
propensity of being purchased?
 How to present the best results for a
visitor based on past buying behavior?
 Can we display similar products
purchased by other users?

12. Insights
 What are the top search queries for the last
week?
 Which products were sold most?
 Which search queries resulted in most
sales?
 Which queries resulted in 0 results in
search?

13. Register @
http://unbxd.com
for Unbxd Search
Private Beta