In retail, shortages, overstocks and pressure on capacity are often attributed to purchasing, logistics or production. In reality, however, the problem often lies a little deeper – in that individual companies in the supply chain react to different information. Each optimizes its section, but the whole loses stability. How do you know that the source of instability is not the demand itself, but the way in which information about it is transmitted between partners?
The supply chain does not fluctuate just because the market fluctuates. It also fluctuates because individual companies in the chain rely on different information. Each sees only its own section, its own orders, its own stock, its own estimate of future developments. And this is where the difference between what is actually sold and what is planned in the network arises.
The bullwhip effect is, in this sense, more of a management problem than a logistics one. It shows what happens when a network is not governed by shared data, but by a series of local decisions.
An order is not a demand.
From a management perspective, the essence is simple. The end customer creates the real demand. But the manufacturer or supplier often doesn't see it. They only see the order from their customer.
But the order is no longer a pure market signal. It reflects local reserves, reactions to promotions, internal replenishment rules and fears of future shortages. Each subsequent link in the network does not respond to market demand, but to its narrow interpretation. And as this signal moves against the flow of goods, its variability increases. This is what creates the bullwhip effect – variability gradually increases against the flow of goods. This mechanism is typically associated with higher inventory, lower reliability of supplies and more complex forecasting.
In practice, it is more of a sequence of small decisions that make sense locally, but as a whole shake up the network. The retailer adds slightly due to the expected event. The distributor increases the order by its own reserve. The manufacturer reads the change as a new trend. The material supplier responds with another increase. Each step can be justified. The sum is less.
Why is it more sensitive in retail than elsewhere?
Retail operates with a high frequency of change and low tolerance for errors. Product ranges change, promotions distort demand in the short term, seasonality comes in waves, and the pressure on availability is constant.
Once the information signal is distorted, the problem is not just in the warehouse. It spills over into production planning, capacity utilization, service levels, and capital. One part of the network holds too much inventory, another deals with outages. In some places, unused capacity is created, in others there is no room for further performance.
The result is the same – worse predictability, lower OTIF and more capital tied up in circulation than the company needs. Studies support this claim and show that without information sharing, excess inventory, shortages, longer lead times and weaker service levels arise, while better data sharing and forecasting can reduce total chain costs by up to 9.7%, with the benefit increasing with higher capacity utilization (Mäkinen 2017).
Document exchange alone is not enough
Electronic data exchange is an important foundation for the functioning of a supply network. It creates a unified environment in which partners do not exchange information haphazardly, but in the same structure and on time.
But the real benefit comes not just from companies exchanging orders, delivery notices and invoices electronically. The value increases when planning and management data – information on demand, forecast, inventory, order status or delivery schedule – is also shared over the same infrastructure.
Only then does electronic data exchange become not just faster communication, but an environment that helps align business, logistics and planning across the network. And that is where its true significance lies for retail. Not only to speed up the flow of documents, but to create a more solid data basis for decision-making.
For company management, this means only one thing: align data across the network.
Supply chain instability often doesn't start in manufacturing, warehousing, or the carrier. It starts with individual companies making decisions based on different, incomplete, and delayed data.
As long as the supplier does not see real demand, but only the order of its customer, it will plan according to a distorted signal. And the network will continue to fluctuate – surpluses in some places, shortages in others, higher inventory, weaker availability, greater pressure on cash flow and lower predictability.
The bullwhip effect is therefore not a question of tougher purchasing or greater pressure on suppliers. It is a question of data synchronization across the network. Without shared, consistent and timely data, fluctuations can only be addressed operationally. They cannot be managed systematically.
Therefore, if you would like to see how standardized data sharing can help stabilize the flow of orders, goods, and related documents in your supply network, we would be happy to discuss your specific situation with you in a non-binding consultation.
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