COMPANY INTRODUCTION

January 2017

29/01/2017

“MASH’N LEARN (ML) PRODUCT TOOLS SUITE USES MACHINE LEARNING LATEST INNOVATIONS IN NARRATIVE LANGUAGE SCIENCE TO CREATE AGILITY IN RETAIL CHANNELSOPERATIONS…”

39/01/2017

L E V E L O F I N T E G R AT I O N

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NPOSITIONING MASH’N LEARN…

49/01/2017

L E V E L O F I N T E G R AT I O N

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NPOSITIONING MASH’N LEARN…

• MASH’N LEARN AIMS TO POSIT ION ITSELF AS A PAINKILLER

FOR LARGE CATALOGS

• MASH’N LEARN AIMS FOR INTEGRATED END-TO-END

AUTOMATION WITH ALL NECESSARY PLATFORMS

• NONE OF THE CURRENT NLP PLAYERS TODAY TAKES ERP INTO

CONSIDERATION

59/01/2017

WHICH CHALLENGES WHEN MAINTAINING LARGE CATALOGS ONLINE…?

69/01/2017

• TO KEEP EX IST ING PRODUCT CONTENT UP TO DATE

• TO ENRICH PRODUCT CONTENT

• TO LOCALIZE CURRENT PRODUCT CONTENT INTO

VARIOUS LANGUAGES

• TO OPTIMIZE RELATED PRODUCT CONTENT FOR SEO

PURPOSES

• TO ADD CONTENT FOR NEW PRODUCTS

• THIS ALL ACCURATELY & FAST . .

AND…

• TO OPTIMIZE THE BACK-OFF ICE WORKLOAD…

WHICH CHALLENGES WHEN MAINTAINING LARGE CATALOGS ONLINE…?

79/01/2017

MASH’N LEARN PRODUCT L I ST ING & ADVERT IS ING:

• TO SEARCH PRODUCT RELATED CONTENT EVERYWHERE

AROUND THE WEB

• TO STRUCTURE PRODUCT DATA TO OPTIMIZE SEO

• FULLY INTEGRATED WITH GOOGLE , AMAZON, AFF IL IATES

ETC

• THIS ALL FULLY AUTOMATED AND FEASIBLE ON A LARGE

SCALE !

THAT’S WHY MASH’N LEARN FIRST INTRODUCED “MLPLA” …

810/01/2017

SO, HOW DOES MLPLA ACTUALLY WORK?

THERE ARE 8 STEPS….

910/01/2017

SO, HOW DOES MLPLA ACTUALLY WORK?

5 ) UPDATING PRODUCTS

6 ) SEO OPTIMISATION

7) PUBL ISH PRODUCT

8 ) PROCESS AUTOMATION

1) DATA STRUCTURING

2 ) PRODUCT STRUCTURING

3 ) TEXT STRUCTURING

4 ) EMOTION STRUCTURING

1010/01/2017

STEP 1 DATA STRUCTURING

DATA STRUCTURING:

• SOURCE PRODUCTS FROM ERP

PLATFORMS

1110/01/2017

STEP 1 DATA STRUCTURING

DATA STRUCTURING:

• SOURCE PRODUCTS FROM ERP

PLATFORMS

• OR, SOURCE PRODUCTS FROM

OUTSIDE PLATFORMS

1210/01/2017

STEP 2 PRODUCT STRUCTURING

PRODUCT STRUCTURING:

• BUILDING THE PERFECT

PRODUCT PAGE

• SEO & READIBIL ITY

STRUCTURE

1310/01/2017

STEP 2 PRODUCT STRUCTURING

PRODUCT STRUCTURING:

• BUILDING THE PERFECT

PRODUCT PAGE

• SEO & READIBIL ITY

STRUCTURE

1410/01/2017

STEP 3 TEXT STRUCTURING

TEXT STRUCTURING:

• GATHER TEXT AND ALL

AVAILABLE DATA IN SOURCE

• USES NARRATIVE LANGUAGE

PROCESS ( NLP )

1510/01/2017

STEP 3 TEXT STRUCTURING

TEXT STRUCTURING:

• GATHER TEXT AND ALL

AVAILABLE DATA IN SOURCE

• USES NARRATIVE LANGUAGE

PROCESS ( NLP )

1610/01/2017

STEP 4 EMOTION STRUCTURING

EMOTION STRUCTURING:

• ANALY SE TEXT AND GATHER

EMOTIONAL KEYWORDS

• GATHER AGAIN BEST

POSIT IVE KEYWORDS

1710/01/2017

STEP 4 EMOTION STRUCTURING

EMOTION STRUCTURING:

• ANALY SE TEXT AND GATHER

EMOTIONAL KEYWORDS

• GATHER AGAIN BEST

POSIT IVE KEYWORDS

1810/01/2017

STEP 5 UPDATING PRODUCTS

UPDATING PRODUCTS:

• INTEGRATION WITH YOUR

ONLINE STORE

• UPDATE ON USER

ACCEPTANCE (UA) ENVIRON.

• OR UPDATE ON PUMPER

WEBSITE

1910/01/2017

STEP 6 SEO OPTIMIZATION

SEO OPTIMIZATION:

• VALIDATING PRODUCT PAGE

• MARK PRODUCT F IT ONLY

WHEN RANKING ABOVE THE

95+…

2010/01/2017

STEP 6 SEO OPTIMIZATION

SEO OPTIMIZATION:

• VALIDATING PRODUCT PAGE

• MARK PRODUCT F IT ONLY

WHEN RANKING ABOVE THE

95+…

2110/01/2017

STEP 7 PUBLISH PRODUCT

PUBLISH PRODUCT:

• L INKS TO ALL SEO ENABLED

WEBSITES

• ADWORDS CAMPAIGNS

BASED ON AGREED BID

2210/01/2017

STEP 8 PROCESS AUTOMATION!

2310/01/2017

KEY ADVANTAGES OF MLPLA…

• NO RISK OF FAILURE

• SHORT T IME TO MARKET

• SCALABLE FOR LARGE CATALOGS

• FULLY AUTOMATED

• EASY TO OPTIMIZE BACK-OFFICE OPERATIONS

• INCREASE ONLINE REVENUES

• REAL -T IME AVAILABLE IN ALL LANGUAGES !

• EXTENSIONS TO OTHER TOOLS SUITE OF ML…

249/01/2017

MASH’N LEARN PRODUCT TOOLS SUITE

• MLDM : MASH’N LEARN DEMAND MANAGEMENT

• MLSM : MASH’N LEARN SOURCING MANAGEMENT

• MLPIM : MASH’N LEARN PRODUCT INFORMATION MANAGEMENT

• MLECM : MASH’N LEARN E-COMMERCE MARKETPLACES

BUT THERE IS MUCH MORE TO COME…

259/01/2017

“A FEW CLIENT REFERENCES …”

269/01/2017

“SO, WHO ELSE IS BEHIND THIS…?”

279/01/2017

INTERESTED? PLEASE CONTACT US!CEO CSMO

THANKS FORYOUR

ATTENTION!