emela 2015 - how to sell more with data analytics
TRANSCRIPT
ì
How to Sell More with Data Analytics
ìDe
fini&on
sBUSINESSINTELLIGENCE“Datadrivendecisionmaking,whichincludesgenera7on,aggrega7on,analysisandvisualiza7onofdatatoinformandfacilitatebusiness.”
ANALYTICS“Waystobreakdownthedata,assesstrendsover7me,andcompare
onesectorormeasurementofanother.”
BIGDATA“Thisisthetechnologythatstoresandprocessesdatafromsourcesbothinternalandexternaltoacompany.”
ìWhatWeKnow
TheRest
<<BIGDATAwillRevolu&onizeRetail
ìStrategizeMoreByAc&ngon
BIGDATA
CHANGEPRICEBASED
ONDEMANDTOMAXIMIZEPROFITS
TARGETYOUR
AUDIENCEMORE
EFFECTIVELY
MAKEBETTERPRODUCT
RECOMMENDATIONS
KNOWWHAT’SINDEMANDANDHAVEPLENTYINSTOCK
ìCaseStudy–ARetailGroceryStore
• AMan(Age30-40)• between5pmto7pmonFridays,comingHomefromwork
• whilebuyingapackofDIAPERS,
• alsobuyscaseofBEER
• DataAnalyKcsproved• BeerisboughtwithDiapers
• MovedBeerisleclosertotheDiapersisle
• Instant35%IncreaseinSalesofBothProducts
FINDINGS ACTION
ì
HowtoSellMorewithDataAnaly&cs
ì
DetermineWhichProducts
ToAdd(OrEliminate)
WhatSells–FashionTrends
Capacity-Capability
Price&Compe&&on
Distribu&onChannels
AXerSales
ìSeehowpeopleare
Accessingyourproduct-Op&mizeaccordingly
ProductDP/DPs
ProductTitle
ProductDescrip&on
ProductReviews
ProductPriceSalesChannelsMarke&ngCampaigns
ì
Op&mizePrice–Maximize
Profits
HistoricalPricing
CustomerAc&vity
Preferences&OrderHistoryCompe&&onPricing
DesiredMarginsAvailableInventory
ì
Promo&onsthatarebe]erTargetedfor
yourcustomers
CustomerTouchPoints
LoyaltyPrograms
SocialMedia
ProductPerformanceSalesChannels
ì
InventoryManagement–StayProperly
Stocked&ReduceOverstock
Fes&veDiscounts
StockMovement
OrderHistory–Trends
Compe&&on
WorkingCapitalWarehouseCapacity
ì
HowThisWorksforAnOnlineSeller
ìrandom transactions
this is how THEINDIAN e-commerceindustry looks onthe surface
ìdelightful linkages
this is how it looksto sellers on theblubox platform!
ì
Multi Channel, Multi
category of
e-commerce Industry to
uncover ,
unknown ,
market , customer
and other
useful business information.
Data Analytics
hidden patterns
correlations
trends
preferences
ì
Multi Channel, Multi
category of
e-commerce Industry to
uncover ,
unknown ,
market , customer
and other
useful business .
Data Analytics
hidden patterns
correlations
trends
preferences
information
ANSWERS THAT MAKE BUSINE$$ $EN$E
Which website can give better ROI for a new mobile launch
Best location for brands’ new stores
Sales forecast on the basis of size, color, style etc.
and the data comes from...
ì
CATALOGAUTOMATION
ORDERINTEGRATION
WAREHOUSEMANAGEMENT
PRICECALCULATION
& UPDATE
What it does?
CAMPAIGNMANAGER
PAYMENTSRECONCILIATION
REPORTS &ANALYTICS