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Rplus Retail analytics solution

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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.

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Rplus Retail analytics solution

  1. 1. DemandSense - A Cloud based Retail Analytics Application DataSheet by R+ Analytics Better Decisions…Bigger Results
  2. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 13. Thank you. Call me for a Demonstration / Discussion Saravanan Saravanan@rplusanalytics.com +91 9900589271

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