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ULIXES
adaptive	 rule	 engine
Bringing	 Big	 Data	 Analytics	 to	 the	 masses	 

TRACKING

User	 Event	 Recording

ENGAGEMENT

Points,	 Badges,	 Levels	 and	 
Notifications

GAME THEORY

Rules,	 Zero-Sum	 Games	 and	 Markov	 
Chains

MACHINE LEARNING

Clustering,	 Behavior	 Analysis

ULIXES.io
Engagement

When	 your	 service	 responds	 to	 what	 your	 customer	 does,	 in	 a	 fun,	 
intelligent	 and	 personalized	 manner.	 Anything	 that	 would	 induce	 
them	 to	 stay	 longer	 and	 use	 more	 of	 your	 services.	 This	 approach	 
has	 long	 since	 become	 the	 governing	 methodology	 for	 planning	 the	 
shopping	 experience.	 So	 long	 for	 self	 service	 sites	 being	 no	 more	 
than	 online	 forms,	 engagement	 is	 making	 your	 customer	 wonder	 
whether	 there	 is	 actually	 a	 human	 on	 the	 other	 side,	 responding	 and	 
acknowledging	 his	 actions.	 

ULIXES.io
Zero-Sum	 Game

A	 situation	 in	 which	 a	 participant's	 gain	 (or	 loss)	 of	 utility	 is	 exactly	 
balanced	 by	 the	 losses	 (or	 gains)	 of	 the	 utility	 of	 the	 other	 
participant(s).	 If	 the	 total	 gains	 of	 the	 participants	 are	 added	 up,	 and	 
the	 total	 losses	 are	 subtracted,	 they	 will	 sum	 to	 zero.	 Thus	 cutting	 a	 
cake,	 where	 taking	 a	 larger	 piece	 reduces	 the	 amount	 of	 cake	 
available	 for	 others,	 is	 a	 zero-sum	 game	 if	 all	 participants	 value	 each	 
unit	 of	 cake	 equally.	 

!

ULIXES.io
Predictive	 Analytics

Using	 the	 accumulation	 of	 user	 events	 to	 attempt	 a	 forecast	 on	 
user	 behaviour.	 Several	 mathematical	 representations	 are	 used	 to	 
create	 these	 predictions,	 naming	 two	 are	 Markov	 Chains	 and	 
unsupervised	 machine	 learning	 algorithm	 for	 clustering.	 Based	 on	 the	 
assumption	 that	 what	 happens	 next	 depends	 only	 on	 the	 current	 
state	 of	 the	 system,	 the	 predictive	 algorithms	 extrapolate	 on	 its	 
current	 experience	 of	 users	 behaviours	 to	 provide	 a	 relative	 
distribution	 of	 what	 may	 happen	 next	 

!
!

ULIXES.io
Machine	 Learning

!
!
!

Picture	 your	 customer	 base	 as	 a	 wheat	 field,	 where	 each	 individual	 
points	 slightly	 in	 a	 different	 angle.	 It’s	 literally	 impossible	 to	 realize	 
trends	 and	 behaviours	 form	 such	 a	 picture,	 unless	 you	 have	 
machine	 learning	 algorithms	 to	 aid	 you.	 Machine	 learning	 clustering	 
can	 quickly	 group	 together	 all	 the	 customers	 pointing	 the	 same	 
direction.	 Bunching	 up	 your	 customers	 makes	 it	 so	 much	 easier	 to	 
see	 where	 are	 the	 majority	 pointing	 to	 and	 characteristics	 of	 each	 
group	 and	 where	 they	 are	 heading.	 

ULIXES.io
Open	 Source

ULIXES.io	 is	 open	 source	 :)	 	 
!
!
!
!

ULIXES.io
You	 want	 this,	 right?	 

(yes,	 it’s	 open-source,	 we	 just	 love	 to	 help	 you	 to	 get	 started)	 
!

!

Contact	 us	 
@UlixesEngine	 

ULIXES.io

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Ulixes.io in a nutshell

  • 2. Bringing Big Data Analytics to the masses TRACKING User Event Recording ENGAGEMENT Points, Badges, Levels and Notifications GAME THEORY Rules, Zero-Sum Games and Markov Chains MACHINE LEARNING Clustering, Behavior Analysis ULIXES.io
  • 3. Engagement When your service responds to what your customer does, in a fun, intelligent and personalized manner. Anything that would induce them to stay longer and use more of your services. This approach has long since become the governing methodology for planning the shopping experience. So long for self service sites being no more than online forms, engagement is making your customer wonder whether there is actually a human on the other side, responding and acknowledging his actions. ULIXES.io
  • 4. Zero-Sum Game A situation in which a participant's gain (or loss) of utility is exactly balanced by the losses (or gains) of the utility of the other participant(s). If the total gains of the participants are added up, and the total losses are subtracted, they will sum to zero. Thus cutting a cake, where taking a larger piece reduces the amount of cake available for others, is a zero-sum game if all participants value each unit of cake equally. ! ULIXES.io
  • 5. Predictive Analytics Using the accumulation of user events to attempt a forecast on user behaviour. Several mathematical representations are used to create these predictions, naming two are Markov Chains and unsupervised machine learning algorithm for clustering. Based on the assumption that what happens next depends only on the current state of the system, the predictive algorithms extrapolate on its current experience of users behaviours to provide a relative distribution of what may happen next ! ! ULIXES.io
  • 6. Machine Learning ! ! ! Picture your customer base as a wheat field, where each individual points slightly in a different angle. It’s literally impossible to realize trends and behaviours form such a picture, unless you have machine learning algorithms to aid you. Machine learning clustering can quickly group together all the customers pointing the same direction. Bunching up your customers makes it so much easier to see where are the majority pointing to and characteristics of each group and where they are heading. ULIXES.io
  • 7. Open Source ULIXES.io is open source :) ! ! ! ! ULIXES.io
  • 8. You want this, right? (yes, it’s open-source, we just love to help you to get started) ! ! Contact us @UlixesEngine ULIXES.io