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
Technologies
- Microsoft SQL Server 2014
- Microsoft Dynamics
- Azure Stream Analytics
- Hortonworks Hadoop Cluster
- Pentaho
- Red Hat Enterprise Linux®,
- IBM InfoSphere®
- InfoSphere QualityStage™
- IBM Informix®
- InfoSphere Information Server Pack for SAP R/3
- ERP
- CRM
- PoS
- Marketing Campaign Tools
- Online Shopping cart
- Any rack-mount cluster rack(s)
Tags
KEY BENEFITS
- Optimizes SKU
- Reduces theft & inventory shrinkage
- Real-time insights into cross-channel customer behavior
- Increases sell-through rate
- Increases store & coupon conversion
- Increases % of returning customers
- Increases average sales per customer
- Predicts & improves ROIC* & ROCE*
- 360 degrees customer intelligence
- Micro- & nano-segmentation of customers
- Predicts & optimizes markdown prices
Explore how IT can help your business by
- Government and Public service
- Real Estate & Construction
- Non-Profit
- Freight, Logistics, Transportation & Warehousing
- Healthcare
- Accomodation and Food
- Construction & Engineering
- Education and Research
- Entertainment, Recreation and Arts
- Manufacturing
- Miscellaneous
- Professional and Technical Services
- Law services
- Utilities
- Travel and Tourism
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