Omni-channel recommendation engine with industry specific algorithms and online merchandising platform for brands manufacturers

1. Omni-channel recommendation
engine with industry specific
algorithms and online merchandising
platform for brands manufacturers
Computers & Electronics • Apparel • Beauty Care • Baby Stuff • FMCG • Goods for Pets

2. “Nearly two-thirds of online shoppers say
they would trade increased privacy for
more personalized offers from retailers.”
Accenture

3. REES46 INCREASES REVENUE AUTOMATICALLY
Recommendations in different
products categories give
different results.
Recommendation engine must
provide different algorithms for
every e-commerce segment.

4. Recommendation
engine integrated with
1400+ online stores in
US, Canada, India and
Russia with 120M+
monthly product views.
Personalised mailing
tool for both
automated (triggered)
and regular
promotional mailings.
In-app advertising tool
for mobile application
to send personalized
notifications when
person is close to the
point of sales.
WHAT IS REES46?

5. REES46 INCREASES AVERAGE REVENUE PER USER
REES46 analyses behaviour of 90M of online
customers.
It sorts common blocks of recommended
products using personalized
recommendations and shows it to customer:
• personalized popular;
• personalized cross selling;
• personalized up-sell;
• personalized interesting;
• personalized similar products.
It increases revenue by 25% average.

6. PRODUCT RECOMMENDATION BLOCKS
That’s exactly what I need!
Take my money!

7. Personalize auto-
suggests, putting best
results higher.
Personalize search
results.
Personalize the
“nothing found” page
with alternate products.
PERSONALIZED SEARCH RESULTS
REES46 converts trivial search on your website into powerful tool of sales.

8. TRIGGER MAILINGS AND PROMOTIONS WITH HIGH CTR
Mailings are personalized for every recipient. REES46
creates e-mails with personalized content and offers and
sends it automatically when a certain event happened.
Use personalized mailings to reduce “abandoned carts” rate and increase revenue.
Trigger email with personalized
recommendations to return customer
Viewed but didn’t buy. CTR: 13.7%.
If a visitor shows increased interest
to the product but does not buy it, he
receives a reminder e-mail within 24
hours.
Thank you for the order. CTR: 11.8%
10 days after a purchase a visitor
receives an e-mail with gratitude and
an offer with related and personally
interesting products.
Abandoned cart. CTR: 18.2%.
User who puts products to the cart
but doesn’t buy, receives a reminder
e-mail within 1 hour.
Activation, promotion, data
reminding, registration messages
with personalized relevant content.

9. Display the most relevant
information in product lists.
Increase push notifications CTR.
Decrease the number of disabled
notifications.
PERSONALIZATION IN MOBILE APPLICATIONS

10. iBEACON AND OFFLINE PERSONALIZATION
REES46 notifies customer when he
passes near your offline store. Push-
message recommends some
personalised goods interesting for a
certain customer.
Don’t spam your customers with push
notifications or you will lose them.
REES46 knows when to send
notification.
Conversion to purchases: 17%.
Push notifications appear in
customers’ smartphones

11. What is your advantage in comparison
with “blah-blah-blah” recommendation
engine we are using now?
Every second e-tailer asks

12. Well…

13. REES46 provides specific algorithms for specific
products categories. You can’t recommend apparel in
the same way as cosmetics.

14. INDUSTRY DIFFERENCES
Specific algorithms REES46 Any other system
Apparel Sure Nope :(
FMCG/CPG Of course What is FMCG? :0
Baby stuff Yes Nay :((
Beauty care products ❤ 😭
Products for pets Yep Sorry, bro
Other industries 👍 👎

15. WE USE BIG DATA AND SMALL DATA
REES46 makes qualitative recommendations just with small volume of data.
The next examples show how REES46 applies small data knowledge
in different segments.

16. Common
algorithms
Automatic gender
recognizer
Automatic clothes
and shoes size
recognizer
APPAREL
Account of user’s gender and apparel sizes as well as brand loyalty.
+ +

17. Common
algorithms
Gender and age
recognizer
Skin and hair type
and condition
recognizer
Brand loyalty
COSMETICS
REES46 knows what customer buys and how often.
+ + +

18. Common
algorithms
Child gender
and age
recognizer
Child clothes
and shoes sizes
recognizer
Parents
preferences
BABY STUFF
+ + +

19. Common
algorithms
Frequently bought
products
Regular products
flow rate
FMCG / CPG
If customer buys same product every time, don’t recommend other product.
+ +

20. Common
algorithms
Pets species
recognizer
Frequently
used products
Pet’s age
recognizer
GOODS FOR PETS
+ + +

21. Small Data helps us to solve cold start problem for new
customers in few seconds

22. • Gender
• Age
• Geography
• Family Budget
• Clothes Sizes
• Shoes Sizes
• Skin Type
• Hair Type
• Skin Condition
• Hair Condition
• Products Flow Rate
• Kids
• Relations
• Pets

23. REES46 ACCOUNTS FOR THE USER’S PHASE OF INTEREST
Account your customer's lifetime interest to product
Demand
Time
Purchase
No interest
Initial interest
Decline in interest
Active search Remaining interest after the purchase
No longer need
Related products
Maybe you will like it
Customers who bought this also bought
Similar products
Popular products
You recently viewed
See also these products

24. Improve your customers’ experience now,
or tomorrow or maybe next week.
Request demo:
rees46.com
mk@rees46.com