Predicting weather is not easy and rapid changes in weather can cause consumers to suddenly shop or cease to shop for specific products, which can quickly become costly for a retailer.
“What would you consider a good level of forecast accuracy in our business?” is probably the single most frequent question we get from customers, consultants and other business experts alike.
With any new market a retailer has to understand how the supply chain will evolve and differ from their usual operation.
In February 2016, France became the first country in the world to ban supermarkets from throwing away or destroying unsold food.
Over the years almost every single retail initiative has had forecasting and replenishment at its core.
Easter is great, but for retail planners in particular Easter is also one of the most annoying annual events as its date moves every year.
We have previously written about building accurate forecasts in order to order optimal quantities of fresh groceries.
Sometime it can seem as though your suppliers are going out of their way to making buying their stuff unnecessarily difficult.
The challenges of Christmas vary from sector to sector. Here’s the big secret: think of Christmas as a process, not an event.
The basic idea of bullwhip effect is that most supply chains have internal dynamics that enforce demand volatility.
For many fashion retailers much of the work towards ensuring a successful season will have been done months before the collections go on the racks.
The more delivery options you offer the more complex the supply chain becomes, and that complexity also has implications for the planning side of things.
As almost every etailer and retailer with an online operations knows all too well, product returns are a costly headache that simply have to be taken care of.
Bringing product view or customer behaviour data from website into your supply chain planning and analytics tool can be very useful.
I’m often asked how online retail affects supply chain planning. Although the basic rules are the same, there are indeed a number of differences.
Why thinking about how to make your supply chain planning worse can help you make it much, much better.
Coping with changes in the rate of sale is a must in the current retail environment.
People are fickle, not wholly rational and make different decisions at different times. However, people are predictable in most of their buying decisions.
Everyone looks forward to summer, sunny weather and happy times. Except the poor supply chain professionals, having to cope with massive swings in sales.
How does one create meaningful forecasts for new products when there is no sales history at all?
Demand forecasting for promotions is a major challenge for retailers, not least because of the impact it has on driving sales.
Forecasting future demand successfully is difficult. Find out from our blog what the big retailers listed as their hardest challenges.
Manual forecasting generally produces results whose accuracy is, rather questionable. However it can be of benefit in certain situations.
Quite often forecasting is based on the views of analysts or salespeople. However in general, human beings are not good at forecasting.
The top post-season supply chain management tips to better manage future seasons and forecast demand more accurately.
In practice zero spoilage is rarely the best goal on perishables inventory management.
It is difficult to achieve the best results when the recession eases if you are not using state of the art Supply Chain Optimisation technology.
A demand forecast always contains errors, but the errors diminish with an increasing aggregation level, and when forecasting less far into the future.
Demand forecasting has been discussed quite a lot in supply chain management. There are some indisputable facts of forecasting. Find out what they are.
Does your company do ‘demand forecasting’ or ‘demand planning’? Both are needed in supply chain management, but what are their differences?