Analysis Events Examples Replenishment 
Logistics Viewpoints
APRIL 4, 2024
Another example of data normalization is accounting for lost sales due to stockouts or waste of perishable products due to overstocking of inventory. Similarly, when the weather is warmer than normal, and we stock out of chocolate ice cream, that impacts both future forecasts and the replenishment plan for the following week.
EazyStock
OCTOBER 20, 2020
Qualitative factors: Add any qualitative forecasting factors into your data, such as sales promotions, competitor activity or external market events. ABC analysis is a good inventory control technique to segment your warehouse stock based on the value it brings to the company. ABC analysis, will help with this.
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FreightWaves SONAR
SEPTEMBER 29, 2023
For example, as seen in scenario A1, the global unconstrained demand for air cargo will fall by 14% of pre-crisis volumes in the second quarter of 2020 and will not rebound to 2019 levels until around mid-2022.” Using data, supply chains could better plan replenishment orders, avoid congestion and prevent further disruption.
FreightWaves SONAR
MARCH 9, 2021
The analysis of that data helps companies identify reliable insights based on what’s happening today and yesterday, not just what happened last week. And while some events (like the weather) cannot necessarily be predicted entirely, it’s possible to increase trucking capacity in advance due to the presence of certain indicators.
Logistics Viewpoints
MAY 11, 2023
For example, they can test the effect of increasing or decreasing safety stock levels or changing the replenishment frequency of certain products. If the digital twin extends beyond the DC to the supply chain, you can have a better evaluation of the entire chain’s responsiveness to these types of events.
Logistics Business Magazine
AUGUST 11, 2020
Forecasting and replenishment formulas that use historic consumption or average stock days are only effective when demand and lead times remain static and the only way for the user to consider any variance is to continually update their calculations.
EazyStock
NOVEMBER 21, 2019
For example, sales transactions that result from a flash clearance sale do not represent typical demand for a given period. Whereas some fluctuations in demand, like seasonality, can be tracked in patterns over time, fliers are less predictable and are one-time events. A more complex option is to use statistical calculations.
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