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SOAR Analysis & Data Analytics - Coggle Diagram
SOAR Analysis & Data Analytics
Strengths (S)
Growing e-commerce business across Bahrain and GCC
Wide product range: electronics, fashion, groceries, beauty
Competitive prices and seasonal discounts
Flexible payment options and home delivery
Loyalty programme encourages repeat purchases
Opportunities (O)
Analyze shopping-cart abandonment
Forecast demand for popular products
Personalize offers by age group and location
Optimize inventory and reduce storage costs
Improve delivery routes and supplier coordination
Aspirations (A) :
Become a leading trusted online retailer in the GCC
Increase customer satisfaction and loyalty
Deliver orders accurately and on time
Reduce abandoned carts
Maintain profitable promotions
Results (R)
Reduce abandoned-cart rate by 15% within 6 months
Achieve 95% on-time deliveries
Reduce stockouts by 20%
Lower excess inventory and storage costs by 10%
Increase repeat purchases by 15%
Data Analytics Process
Stage 1: Specify Questions
Why do customers abandon carts?
Which products face stockouts?
Why are deliveries delayed?
Which promotions generate profit?
Stage 2: Obtain Data
Online transactions and customer profiles
Shopping-cart and website activity
Inventory and supplier delivery records
Customer complaints and delivery tracking
Advertising and loyalty-programme data
Stage 3: Analyze Data
Identify cart abandonment patterns
Forecast product demand
Compare delivery times and error rates
Calculate promotion costs versus revenue
Compare customer preferences by age and location
Stage 4: Report Results
Dashboards showing sales and profit
Reports on delivery performance
Inventory and demand forecasts
Promotion effectiveness charts
Recommendations for management action