Customer purchase once in 3 to 6 months
Number of customer compliances vs customer back out.
Customer feedback Analysis (NPS)
Customer services analysis (Internal)
Product date analysis based on sales
Top & bottom product based on sale within one month from DOM & DOE
Age forward cover days base
Food vs non food analysis
Daily Fill rate and location consumption
Pending order Vs loss of sales
Promotion or offer based fill rate
Seasonal Product and demand analysis
Season start date, within the season & ending the season analysis
Season based promotion margin and liquidation analysis.
Product pairing demand analysis
Season pairing demand analysis
Location based pairing demand analysis
Customer pairing analysis (Internal)
Product MBQ vs Sales contribution
Planning and merchandise gaps
Forecasing on merchandising liquidation plan on item level
Profit or loss if delay in supply
Location wise sale margin & margin growth
Supply Vs Sales Analysis
Price sensitivity analysis
What promo price have better impact.
Factor and time for the price promo analysis
Daily based quality check analysis
Quality check Vs supply analysis.
Repeat default vendor & Product analysis
Data is everything, when looking into data everyone have their different prospective related to there skill and understanding but the data speak beyond. Fabi Analytics dig in data to see all kind of information.
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