Big Data for Retail

The solution is part Allied Consulting’s Big Data solution stack. It focuses on integration of existing data sets collected by the customers; collecting, ingesting, transforming, storing, and analyzing retail data in real-time for marketing & operations analysis. The following are baseline features of the solution.

• Integrated Inventory & PoS Dashboard
  • Near-real time tracking of daily stock movement levels spread across multiple warehouses & retail stores, regionally and globally
  • Integrated PoS system provide store sales by location, employee numbers and profitability

• Shrinkage Analytics
  • Collects data from a retailer’s PoS system, ERP system, employee time and attendance software and inventory management systems
  • Integrated feature correlates data from PoS systems and surveillance infrastructure
  • Analytics software combs through data for correlations between register discrepancies and other information

• Warranty Analytics
  • Predict/anticipate rates of failure for different components; Identification of the drivers or parts
  • Predicts what types of customers buying what types of products are likely to redeem a warranty

• Shopping basked analysis
  • Data mining algorithms used to identify frequent patterns and co-occurrence relationships
  • Sharing PoS data with trusted suppliers regarding products bought together
  • Time series data analysis  identifies adjacent products that benefit from a sales increase

• Order Cycle Time
  • Dashboard containing stock cycle data to facilitate inventory planning &/or make order-cycle in line with sales data
  • Order cycle module enables availability of stock cycle data
  • Recommendations for purchase planning &/or make order cycle in line with sales data

• Recommendation Engine
  • Customer classification based on the locality, product, infrastructure, climate, occasion, etc.
  • Dashboard contains pre-populated consumer segments with similar behavior to target consumers in real time with relevant product offers

• Real-time Customer Intelligence
  • Micro-segmentation & nano-segmentation of customers (based on the locality, product, acceptability, infrastructure, climate, occasion, etc)
  • Interactive 360 degree view of customers
  • Identification of the most profitable customer segments by cross-sectional analysis of financial data, season patterns and purchase history
  • Contains dashboard that shows average sales per customer or transaction & further drill-down data
  • Data extraction directly off operational systems, such as point of sale, ordering and inventory control

• DM & data exploration
  • Interactive chart types including scatter plots, heat grids and Geo-maps (information regarding buyers, suppliers, & intermediaries) for particular or high-grossing products