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Sales Forecast KPI

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Among Logistics KPI, they are KPIs related to the sales forecast function.

They are usually called Sales Forecast KPIs and are fully part of Logistics and Supply Chain KPIs.

 

All KPIs are to adapt regarding the forecast cycle lenght and the forecast axis (product, geography...) of your own company, regarding sales levels considered as low, averages or high and regarding the reliability objectives commitments,
By Forecast group, we mean the level of item agregation allowing the most reliable forecast (See Spec Sheet Sales Forecast )
   


 
Description Key Data Detailed calculation
 Ratio % of reliability (progress)Number of reliabilized forecasts groups / Number of to be reliabilizedd forecasts groups
 Ratio Global forecast difference/ Actual SalesSum of forecast/actual differences in absolute value /Sum of actual sales
Weekly operational follow-upRatio forecast difference / Actual Sales for high sales volumeSum of actual sales of items with more than y % between forecast and actual > x untis (high sales) / Sum of sales of item with sales > x units (high sales)
Reliability at item levelRatio forecast difference of high sales items / Actual Sales of items with at least one saleSum of actual sales of items with more than y % between forecast and actual > x untis (high sales) / Sum of actual sales of items with at least one sale
By product or geographycal hierarchyRatio Qty of items with at least 1 sale / Total Qty of itemsQty of items with at least 1 sale / Total Qty of items
 Ratio Sales of high sales items / Total Sales of items with at least 1 saleSum of sales of items with > x units sold (high sales) / Sum of actual sales of items with at least one sale
 Ratio Qty of high difference and high sales items / Total Qty of itemsQty of items with more than y % between forecast and actual > x untis (high sales) / Total Qty of items
 Ratio Actual sales of high difference and high sales items / Total actual salesSum of actual sales of items with more than y % between forecast and actual > x untis (high sales) / Total actual sales
 Qty of forecast groups 
 Sales with forecast OK / Total sales of week W-1 
 Sales with forecast OK / Total sales of week W 
Weekly DashboardDifference between one week and another 
By product or geographycal hierarchyWeekly history of over forecast (difference + z %) 
 Weekly history of lower forecast (difference - z %) 
 Weekly history of OK forecast (difference within +/- z %) 
Monthly DashboardMonthly evolution of forecast reliability at the end of forecast horizon 
By product or geographycal hierarchy(comparizon of forecast done in the past within the horizon and actual of the corresponding periode in the horizon) 
 
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