How Retail Businesses Can Plan Merchandise Better Using POS Software
Retail Businesses can optimize their merchandise
by understanding the dynamics of sales they make over time.
POS software for retail businesses help understand a lot of trends that occur in a business’ sales
cycle every year. This helps managers and owners take sound business and
merchandising decisions.
Here are a few ways in which retail POS software
analytics help in merchandising effectively:
1. Understand customer buying behaviour
With the help of sales analytics, you can create
customer segments as per their buying patterns and behaviour. There are
customers who buy in large quantities at once, while others prefer buying small
quantities often. This helps package and place products in a certain way.
Also different customers prefer buying products at
different points of time during the month or year, which helps in taking
inventory decisions.
Merchandisers can assess what placement works in
increasing sales of a certain kind of product.
2. Identify bestsellers
With the help of sales analysis, merchandisers
can understand which products sell the best over time. You can identify staples
for your business—products which have to be kept in stock all year round or
during a season. These are the products which are present in maximum number of
purchase baskets of customers. Such products have be kept in stock in
quantities enough to meet customer demand.
3. Identify products that sell together
By studying product baskets of customers,
merchandisers can recognise the products that sell together. They can use that
information to place or package complementary products together to encourage
more customers to increase their basket size.
4. Know preferred price points and price
elasticity
Sales data is a great way to analyze which price
points are preferred more by customers. Merchandisers can offer two or more
similar products with different price points to customers and see which ones
are preferred by them. They can even introduce seasonal price variations for
certain products, so that price elasticity of customers can be evaluated. This
insight helps in pricing the products optimally to maximize revenue.
All these methods can
be used by merchandisers to maximise customer purchase basket and lifetime
value. They can use a POS software for
retail businesses to make their
decision making robust and scientific.
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