Last week, the articles and readings focused on the use of
forecasting to meet customer demand in a timely manner. Overestimation can lead
to high costs, high inventory and underestimation can lead to a low customer
satisfaction which can be bad for a company’s reputation and credibility.
Forecasting is done by companies in every segment to ensure that they have just
enough supply to meet the customer demand. Global companies use sophisticated softwares
while small companies use statistical tools like moving averages and
exponential smoothing to include seasonality. (1)
Pharmaceutical industry is highly regulated throughout the
world. They have to comply with WHO standards along with their own local
pharmaceutical and manufacturing standards. Additionally, pharmaceutical supply
chain forecasts are complicated and unpredictable so managing forecasts is
really important in this business. According to a report by Accenture- improved
demand forecasting will help reduce inventory by $46B worldwide. Two basic
problems faced in this industry are: lack of collaborative practices with
downstream customers and poor forecasting quality. These two problems can lead
to excessive inventory and missed forecasts as sales and operational planning are
affected. (2) Transporting medicine is also a complicated process. There are
strict requirements for each product with regards to their temperature control
and the vehicles in which they can be transported. Routes need to be mapped in
advance to take weather and bad roads into account. Therefore, poor forecasts
can add additional transportation costs as well.
Every link in the supply chain depends on forecasts and
therefore it is a vital process. A cardinal sin in this industry is to run out
of stock- which can lead to replacement by another supplier. Improving a single
step in Supply Chain Management-Forecasting can really lead to profitable
outcomes with increased customers. This can be better explained with an example:
Cipla Medpro is South Africa’s fastest growing pharmaceutical company and among
the top key market leaders. When the company started, they had limited products
and it was easier for them to forecast using excel spreadsheets. As they scaled
up, it became increasingly difficult for them to have accurate forecasts. They
therefore implemented a software, which helped them better manage their
inventory and meet customer expectations along with increasing operational
efficiency. (3)
What’s interesting to find is how small companies and
start-ups determine their inventory levels and be at par with industry
benchmarks as they don’t have enough capital for software implementation. Would
they still use excel spreadsheets and forecast or are there any other options
available they can use for accurate forecasts which are cost efficient?
References:
1.
Importance of Forecasting in supply chain
management – smallbusiness.chron.com
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