Attributed to global
competition, demand is no longer certain in any business. Over the years
forecasting has gained tremendous role in supply chain management. Managers are
increasingly looking at forecasting models to reduce costs. Despite
advancements in the field of technology, machine learning and predictive
modelling most of the organizations do a relative poor job in incorporating
uncertainty in their production and sales forecasting process. Abercrombie and
Fitch was a victim of this error. Like several others, the analysts failed to
incorporate uncertainty in demand while forecasting their sales model.
Over the past four
quarters, sales have declined by an average of 9% every year. The decline in
sales is responsible for the decrease in the company’s stock price too. In the
second quarter the stock’s declined by 6%, worse than what the analysts were
fearing. The analyst’s prediction were off by 0.6% and the same store sales
declined by 10%.
Abercrombie and Fitch
once the most famous brand among teenagers is now struggling to stay in the
market. Teens who once sought out for brand names and logos are now moving towards
their more individualized styles. This is one of the major changes and has
undermined Abercrombie’s pricing power and hurt its sales. Could this be
avoided had Abercrombie and Fitch taken into account the change in consumer
demand will forecasting their sales? Abercrombie is having a hard time keeping
up with their competitors such as H & M, Forvever21 and Aeropostale etc.
who are selling similar items at lower prices. A dress on average costs 58$ at
Abercrombie and Fitch whereas a similar dress sells at 15$ at H & M.
Abercrombie is trying to speed up its supply chains to keep up with the latest
trends. Due to increased proliferation of smartphones and tablets, the ease of
shopping on the internet has increased and consumers are visiting store less
frequently. This is a concern for major retailers including the already
struggling Abercrombie. This is impacting sales at Abercrombie, which earns
close to 80% of its revenues from store sales.
A precise and efficiently
laid out growth demand forecasting system is the key to keeping one’s business
afloat in times of massive fluctuations in market demand for products. The
ability to identify market trends that may lead to changes in future demand is
a fantastic asset to help businesses avoid any wasteful sales commitments. Keeping
a close eye on the trends and hiring experts who can accurately forecast demand
is the key to long term success.
This raises a
question, are companies relying too heavily on forecasting techniques and
failing to incorporate changing consumer demands in the forecasting model?
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