A managing director and partner at Disruptiva Works, Luis Miguel Chong Chong has worked for multiple sectors ranging from food service to the pharmaceutical industry. In the course of his career, Luis Miguel Chong Chong has focused on various aspects of supply chain optimization including revenue optimization.
Supply chain optimization success depends on how well businesses utilize various revenue optimization strategies to boost their efficiency and generate more revenue. Revenue optimization entails strategically managing various aspects of the supply chain such as pricing, distribution, inventory, and demand in order to maximize revenue. Data is vital for achieving this goal. Brands that succeed in revenue optimization utilize historical, competitor, consumer, and product data to formulate demand models, pricing predictions, and consumer behavior forecasts.
When businesses have more access to data, they’re able to perform better data analysis, which facilitates informed decision-making and shapes revenue optimization strategies. Companies also use data to continuously improve their products as well as equip their marketers with sufficient customer data, which helps them to focus on prospective clients who are most likely to convert into paying customers.
2. A fellowship-trained and board-certified spine
specialist, Dr. Anil Kumar Kesani practices at
SpineMD, where he focuses on minimally invasive
spinal surgery and disc replacements. Dr. Anil
Kesani incorporates the latest developments and
treatments in spinal care to speed up and optimize
patient outcomes.
3. A managing director and partner at Disruptiva Works,
Luis Miguel Chong Chong has worked for multiple
sectors ranging from food service to the pharmaceutical
industry. In the course of his career, Luis Miguel Chong
Chong has focused on various aspects of supply chain
optimization including revenue optimization.
4. Supply chain optimization success depends on how
well businesses utilize various revenue optimization
strategies to boost their efficiency and generate more
revenue. Revenue optimization entails strategically
managing various aspects of the supply chain such
as pricing, distribution, inventory, and demand in
order to maximize revenue. Data is vital for
achieving this goal. Brands that succeed in revenue
optimization utilize historical, competitor, consumer,
and product data to formulate demand models,
pricing predictions, and consumer behavior
forecasts.
5. When businesses have more access to data, they’re
able to perform better data analysis, which
facilitates informed decision-making and shapes
revenue optimization strategies. Companies also
use data to continuously improve their products
as well as equip their marketers with sufficient
customer data, which helps them to focus on
prospective clients who are most likely to convert
into paying customers.
