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RetailSense – Driving Sales Through Insights
01.28.2019
RetailSense.
FAST AND EASY-TO-USE BUSINESS INTELLIGENCE REPORTS – ACCESSIBLE
ANYWHERE.
• Multi-retailer view to allow you to have the complete retail picture in one
place
• Automated data processing reduces reporting time to see
the week’s sales on Monday
• Drill capabilities easily allow for deep dive into data at the SKU / Store level
• Easily customized to meet your needs
• Eliminate large Excel files that clutter your inbox and create security risks
• View historical data all in one report to see the larger picture
• Integrate with our eCompShop tool to see a picture of the entire market in
addition to your sales
Multi-Retailer Capability • RetailSense can handle
feeds from any retailer
that provides sales and
inventory
• If the feed is accessible
through a portal, TRG
will automate the data
capture (for many
retailers this is already
set up)
• Dashboards are
created for each client
to their needs
• Filters on the sides
allow for tailoring data
• All data is drillable to
the SKU/Store level
BI sales dashboard.
Com pare unit s ales , dollar
s ales and inventory at any
tim e period to identify
c hanges
Filters allow drill
down c apability by
c ategory, produc t or
geography
Color c oded indic ators to
h i g h l i g h t p o s i t i ve o r n e g a t i ve
trends
View reports on any
web -e n a b l e d d e vi c e
From overall trends to the
s m alles t detail in a few
c lic k s
Drill any m etric to produc t
m odel and s tore to get to the
root c aus e and tak e ac tion
Download any graph or
c hart to Exc el or
PowerPoint to c reate your
own reports
RetailSense drill down.
Built in Diagnos tic Tools to trac k Out of
Stoc k SKUs . Us er c an drill into data to
s ee the s pec ific Out of Stoc k s tores and
detail on how long they’ve been without
inventory.
Lift and ROI Example
45.9%
• Net lift of 45.9%
actions in Test stores
over Control
• Net lift is calculated as
(Test store avg sales
growth) – (Control
store avg sales growth)
• In this example, Test
store sales grew 96.6%
from pre to post
period and control
store sales grew
50.7%. (96.6% - 50.7%
= 45.9%)
Splash Map Example
We use splash maps of online
sales to help pinpoint where we
might expand to next when our
client does not have a nationwide
footprint
This shows sales of Pool Fencing.
We were able to use this analysis
to expand into the Pacific North
West and Texas in a major big box
retailer.
How we get there.
• Set up. Process to start reporting can be set up in about
a week
• Customization. Standard dashboards and views can be
updated based on the individual needs of the products
• Strategy. Working closely with clients to integrate data
and insights through all aspects of development
• Experience. What sets us apart from the rest. We know
retail
The Premium approach.

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RetailSense - Multi-Vendor Point of Sale Analytics

  • 1. RetailSense – Driving Sales Through Insights 01.28.2019
  • 2. RetailSense. FAST AND EASY-TO-USE BUSINESS INTELLIGENCE REPORTS – ACCESSIBLE ANYWHERE. • Multi-retailer view to allow you to have the complete retail picture in one place • Automated data processing reduces reporting time to see the week’s sales on Monday • Drill capabilities easily allow for deep dive into data at the SKU / Store level • Easily customized to meet your needs • Eliminate large Excel files that clutter your inbox and create security risks • View historical data all in one report to see the larger picture • Integrate with our eCompShop tool to see a picture of the entire market in addition to your sales
  • 3. Multi-Retailer Capability • RetailSense can handle feeds from any retailer that provides sales and inventory • If the feed is accessible through a portal, TRG will automate the data capture (for many retailers this is already set up) • Dashboards are created for each client to their needs • Filters on the sides allow for tailoring data • All data is drillable to the SKU/Store level
  • 4. BI sales dashboard. Com pare unit s ales , dollar s ales and inventory at any tim e period to identify c hanges Filters allow drill down c apability by c ategory, produc t or geography Color c oded indic ators to h i g h l i g h t p o s i t i ve o r n e g a t i ve trends View reports on any web -e n a b l e d d e vi c e
  • 5. From overall trends to the s m alles t detail in a few c lic k s Drill any m etric to produc t m odel and s tore to get to the root c aus e and tak e ac tion Download any graph or c hart to Exc el or PowerPoint to c reate your own reports
  • 6. RetailSense drill down. Built in Diagnos tic Tools to trac k Out of Stoc k SKUs . Us er c an drill into data to s ee the s pec ific Out of Stoc k s tores and detail on how long they’ve been without inventory.
  • 7. Lift and ROI Example 45.9% • Net lift of 45.9% actions in Test stores over Control • Net lift is calculated as (Test store avg sales growth) – (Control store avg sales growth) • In this example, Test store sales grew 96.6% from pre to post period and control store sales grew 50.7%. (96.6% - 50.7% = 45.9%)
  • 8. Splash Map Example We use splash maps of online sales to help pinpoint where we might expand to next when our client does not have a nationwide footprint This shows sales of Pool Fencing. We were able to use this analysis to expand into the Pacific North West and Texas in a major big box retailer.
  • 9. How we get there. • Set up. Process to start reporting can be set up in about a week • Customization. Standard dashboards and views can be updated based on the individual needs of the products • Strategy. Working closely with clients to integrate data and insights through all aspects of development • Experience. What sets us apart from the rest. We know retail The Premium approach.