Rplus offers analytics solution for retail industry through cloud based DemandSense application and big data analytics platform. Retail companies can leverage data to improving the profitability and efficiency of operations at a low cost in a faster timeframe.

1. DemandSense
- A Cloud based Retail
Analytics Application
DataSheet by R+ Analytics
Better Decisions…Bigger Results

2. 2
What our customers say about us?
R+ Team impressed our Top
Management and business
users with their analytical
capabilities and technology
and data expertise…….
CIO of a leading private online
education More insight to our data
which helps us to take
effective decision, Improved
Employee Productivity.
Senior Manager of a leading Retail
Brand

3. 3
How DemandSense works?
DemandSense
Inputs Benefits
Enterprise
Data
External
Data
• Sales
• Inventory
• Price Data
• Weather
• Temperature
• Population
Density
• Sentiment
• Influence
• Brand Popularity
Analytics Engine
Faster and Improved Decision Making with DemandSense
20% Manufacturing & Freight
Cost by SC Segmentation
10-20% Accuracy by Advanced
Forecasting
7-10% Profit in Markdowns
10-15% Price Optimization
15-20% Excess Inventory thru
Assortment Planning

4. 4
Example: How DemandSense delivers value
Forecasting
External
factors
have
greater
Influence
!
Realization of what factors influence demand for your products
Ice Cream sales are influenced by…

5. 5
Demand Forecasting and Inventory Planning
Business Activity Data Inputs Benefits
Analyse demand across
product, category, stores.
Supply chain to get a
granular view of demand
determinants.
- Sales Data
- Inventory Data
- Procurement Data
• Stock right quantities
• Reduce wastage
• Eliminate lost sales
• Plan procurement
efficiently
Identify the items that are
likely to be purchased
together.
- Sales Data • Plan promotion to
improve profitability
• Plan procurement
efficiently
Discover products with
both natural and artificial
affinity
- Sales Data • Develop optimal
promotions

6. 6
Customer and Loyalty Analytics
Business Activity Data Inputs Benefits
Single view of customers
across channels and their
behaviour. Based on that
Customers can be
segmented as
• Quick Buyer
• Budget
• Shopping Experience
• High Quality Focussed
• Smart / Value driven
• Convenience
• Variety Seeker
- Loyalty data
- Sales Data
- Reduce customer churn
- Retain customers
- Increase bill value
- Ensure stock availability
- Plan promotions

7. 7
Stores and Assortment Analysis
Business Activity Data Inputs Benefits
Manage and boost sales of
profitable assortment mix
• Sales Data - Higher profitability
Track store performance
across many parameters.
Identify sales and margin
growth.
Evaluate store size and
employee strength against
margins
• Sales Data
• Cost Data
• Stores attributes
• Employee Data
- Increase Employee
productivity and
scheduling
- Improve Stores’
profitability

8. 8
Inventory and Loss Analysis
Business Activity Data Inputs Benefits
Identify negative margin
and stock holding trends.
Identify stock movement
and liquidation
opportunities. Manage
perpetual and promotional
inventory.
• Inventory Data
• Cost Data
• Promotions Inventory
• Minimize inventory
carrying costs, stock-
outs and emergency
replenishment costs.
Identify potentially
fraudulent transactions.
Evaluate various sources of
shrinkage.
Track out-of-hour
transactions and discounts.
- Sales Data
- Inventory write-off data
- Prevent loss/theft
- Reduce shrinkage

9. 9
Promotion and Pricing Analysis
Business Activity Data Inputs Benefits
Track promotion
effectiveness, stock
availability and buying
needs.
• Inventory Data
• Promotion Data
Optimize promotions
Track plan against actual
markdowns, optimize
markdowns by analysing
sell-through trends.
• Promotion Data
• Sales Data
Optimize markdowns

10. 10
What R+ DemandSense offers now?
 DemandSense helps Planners, Merchandisers and Store Managers forecast the sale
more accurately using external and social data in addition to data within the
enterprise.
Plan optimum stock levels by location to maximize sales & profits while minimizing
wastage & losses.
To ensure Retailers and FMCG companies have enough stock available to meet
demand from customers, but not too much that they have dead stock/wastage.
We do this by reviewing historic sales and stock information, and combine this with
over 40 external factors like weather, temperature, economic indicators and social
media sentiment, to produce more accurate forecasts.

11. 11
Who is R+ Analytics?
Specialists in Analytics and Big Data Solutions
Founded by Consultants who has worked for PwC , IBM and global MNCs
and have 4 decades of combined Industry experience delivering consulting
and technology solutions for about 90+ clients in the area BI/Analytics and
SAP across the globe.
We have doctorates, MBAs and Engineers who are Data scientists/
Analysts, Data warehousing and modelling experts
We have delivered Analytics and BI projects for many Retail and CPG
companies successfully in India, UK and USA
We offer Analytics-as-a-service on Cloud through DemandSense Product
and OLAP on Hadoop for Big Data through PetaBolt platform

12. 12
Our Vision:
Get more insights out of data for business growth
Assist companies reduce their costs and improve sales
Help Improve Product/ Brand and Stores profitability
Make it easy and simple to deploy and use technology
Specialists in Analytics and Big Data

13. Thank you.
Call me for a
Demonstration / Discussion
Saravanan
Saravanan@rplusanalytics.com
+91 9900589271