BrainTech, LLC differs
from typical data mining and demand forecasting companies by considering demand
and trend as
small pieces of a larger puzzle.
Specifically, we combine
time-related, seasonal, environmental,
and psychological factors to build models that describe and quantify influences of past behavior. Using these models, we are able to:
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Identify behavioral and market-related factors that influence product demand,
offering companies insight into the conscious (and unconscious) decision-making processes of
their customers.
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Identify holiday-related and regional weather variables that affect customer behavior, and quantify
the effect of each variable on product demand.
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More accurately assess the impact of advertising and other forms of marketing by
accounting for variability in sales related to weather conditions, long-term sales trends, the
day-of-week, and holidays. (Example)
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For companies that produce or sell perishable goods, we help with inventory management
by using predictive models to
estimate the number of products that will be
sold each day over the upcoming week. Using this information helps our clients:
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Anticipate sharp spikes in future demand, allowing time for order quantities to
be adjusted in order to avoid running out of inventory.
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Increase profit margins by minimizing the number of products that expire unsold.
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In summary, we use multiple sources of data to develop models that identify and quantify market-related and behavioral variables that influence demand.
For companies that deal with perishable inventory, we are able to generate predictive models that estimate
short-term demand with a high degree of accuracy, allowing our clients to efficiently manage inventory, reducing the
number of products that expire unsold, while still ensuring that potential sales
are not lost due to inability
to meet demand.
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(click to enlarge)
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