Value
chain management rests on fundamentally simple questions, which are
ultimately difficult to answer: How much of a product should the store
order? When should the order be placed? Which products should be ordered?
Retailers carry many thousands of products, in hundreds of stores.
Beyond the vast number of SKU’s and product categories, any system
must take into account the complex interrelationships between these
products, as well as the variables that affect demand and the constraints
placed on orders, including limited shelf space, transportation schedules
and capacity.
The promise of automated replenishment is intriguing – straight
out of science fiction – “Imagine a world where orders are
created for you, freeing you from the monotony of writing orders several
times a week. These orders will be perfect, since they will use past
sales to predict future movement.” The reality, however, is more
like the Stone Age. Setting up your replenishment system is tedious and
complex – your people must constantly monitor dozens of parameters
every day, making the task more and more frustrating. These “house
of cards” systems eventually collapse under their own weight. At
Tango, we consider these systems semi-automated replenishment at best.
Why is a solution so hard to come by? What factors must be taken into
account in order to optimize product management? In our opinion, managing
the value chain comes down to one principle, what are you trying to accomplish
with your replenishment strategy? We want to help.
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