Onsite search

1. A peek inside search box

2. How has search evolved?

3. Connecting the Dots

4. Semantic Reasoning

5. Impact on E-commerce Search

6. sheer curtains for living room
watches for girl under 100
creme for skin burns
water proof case for iphone 5s
anyi aging cream for acne
skin
Feature
Feature
Theme
Subjective
Compatibility
Symptom
Compatibility
Search is Evolving!

7. Current State of the Search
Q: Table Lamp

8. Identifying the right
product_nounQ: Table Lamp

9. Identifying the right
product_nounQ: lamp table

10. Looking for Trend
Q: top rated bags

11. Looking for products on Sale
Q: top rated bags on sale

12. Price constraints
Q: top rated bags on sale under 50 USD

13. Reviews: Use Cases

14. Semantic Queries
Q: gifts for wife

15. Inferred Queries
Q: for winter

16. Contextual Queries
Q: off the shoulder

17. Search Insights

18. Learning to Boost Products

19. Enriching Catalogs
Q: blue drapes (matches the word curtain)

20. Manual Synonyms

21. Search Merchandising
● Merchant
○ is selling shoes
○ has most customers as
female customers
○ finds the most sold shoes are
either black or brown

22. Category Navigation
= Speed + Learning

23. Personalised Search Oriented
Product Recommendations

24. B2B Search Requirements
○ Group prices (complex pricing)
○ Category and functionality constraints
○ Searching for SKU/Product Codes
○ Grid View Layout

25. B2B Search Requirements
○ Supporting integration with ERP systems
○ Preserving Native Layout

26. Future

27. Questions & Comments?

28. niraj.aswani@klevu.com
paul.rogers@klevu.com