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

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

Accenture

REES46 INCREASES REVENUE AUTOMATICALLY

Recommendations in different products categories give different results. Recommendation engine must provide different algorithms for every e-commerce segment.

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?

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.

PRODUCT RECOMMENDATION BLOCKS

That’s exactly what I need! Take my money!

Personalize auto-suggests, putting best results higher.

Personalize search results.

Personalize the “nothing found” page with alternate products.

PERSONALIZED SEARCH RESULTSREES46 converts trivial search on your website into powerful tool of sales.

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.

Display the most relevant information in product lists.

Increase push notifications CTR. Decrease the number of disabled notifications.

PERSONALIZATION IN MOBILE APPLICATIONS

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

What is your advantage in comparison with “blah-blah-blah” recommendation

engine we are using now?

Every second e-tailer asks

Well…

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

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 👍 👎

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.

Common algorithms

Automatic gender recognizer

Automatic clothes and shoes size

recognizer

APPARELAccount of user’s gender and apparel sizes as well as brand loyalty.

+ +

Common algorithms

Gender and age recognizer

Skin and hair type and condition

recognizer

Brand loyalty

COSMETICSREES46 knows what customer buys and how often.

+ + +

Common algorithms

Child gender and age

recognizer

Child clothes and shoes sizes

recognizer

Parents preferences

BABY STUFF

+ + +

Common algorithms

Frequently bought products

Regular products flow rate

FMCG / CPGIf customer buys same product every time, don’t recommend other product.

+ +

Common algorithms

Pets species recognizer

Frequently used products

Pet’s age recognizer

GOODS FOR PETS

+ + +

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

• Gender • Age • Geography • Family Budget

• Clothes Sizes • Shoes Sizes

• Skin Type • Hair Type • Skin Condition • Hair Condition • Products Flow Rate

• Kids • Relations • Pets

REES46 ACCOUNTS FOR THE USER’S PHASE OF INTERESTAccount your customer's lifetime interest to product

Dem

and

Time

Purchase

No interest

Initial interest

Decline in interest

Active search Remaining interest after the purchase

No longer need

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Improve your customers’ experience now, or tomorrow or maybe next week.

Request demo: rees46.com mk@rees46.com