Events Examples Replenishment Trends 
Logistics Viewpoints
MARCH 27, 2024
MODEX 2024, held in Atlanta, Georgia, from March 11 to 14, attracted more than 35,000 attendees and featured over 150 educational sessions, keynote speakers, and networking events. Here are some of the examples that caught our attention. They can also work alongside humans or independently, depending on the task and the environment.
EazyStock
OCTOBER 20, 2020
Trends: Product demand is influenced by fashion, technology, social, economic and legal factors. Look out for such trends in your historical demand data and adjust your forecasts accordingly. For example, you should consider setting different service levels, safety stock levels and reordering parameters for each category.
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Ship Monk
JULY 27, 2022
Demand forecasting helps you: Optimize inventory Align with your operational strategy Analyze demographic and product trends Surprise and delight customers Protect yourself against financial risks Prepare for peak season. How often does inventory need to be replenished? The COVID-19 pandemic was a prominent example. #5
EazyStock
JULY 7, 2020
This kind of software will help you understand how volatile your demand is and adjust your replenishment parameters as needed. It can also quickly identify trends in customer behavior and help you respond accordingly. Reacting to Demand Trends Caused by COVID-19. Why 30-day Rolling Average Forecasts will Fail. demand outliers.
EazyStock
MARCH 22, 2022
There have been significant shifts in customer behavior, making it hard to base assumptions on consumer trends. Customer behavior continues to be erratic as buying habits reflect current events and news stories rather than actual needs. For example, up-to-date information from your staff, customers, and, of course, industry bodies.
EazyStock
OCTOBER 23, 2020
Seasonal demand is defined as a certain time series with repetitive or predictable patterns of demand due to re-occurring seasonal events. These patterns can re-occur over days, weeks, months or quarters and can make it harder for businesses to forecast future demand trends. Inventory optimization. De-seasonalize the demand e.g
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.
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