5E-CommerceMerchandisingPain Points

1. Search Quality

2. Promotions

3. Landing Pages

4. Behavior Targeting

5. Insights

5

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

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?

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?

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?

Synonyms/Stopwords

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.

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?

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”.

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?

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?

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?

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