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Customer Data:  Do you really know them?

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Recently, I’ve been working with a leading retail company in Thailand. What I’ve discovered were 3 things.

Customer segmentation – even with numerous data including social data, transaction data and customer loyalty data, the CRM team still can’t clearly identify which segmentation this customer is. In practice, they have a big group (segment) of customer which customer can fall into one or more segmentation. This will likely affect how retails view their customer-shop profile. I’ve seen an example of segmentation in Telecom industry and they have 500+ micro-segmentation for their customers. Not to mention the dynamics of monthly updates which customer could change segments depending on their interaction with the customer.

Campaigns and promotion – as CRM can’t clearly identify which segment each customer belongs to, thus the campaigns and promotion are therefore driven by the suppliers and not that needs and demands of customers. In practice, we see mass campaigns such as month end promotion, weekend promotion instead of segmentation promotion. Also, in reality, managing campaigns and promotion is a mess as they were created without proper campaign management, hence, created by suppliers. Customers could experience 4-5 promotions in one shopping bill, if all campaigns apply, however, if not, customer experience could be easily ruined. I’ve seen several incidents when this happened.

For this retail, sales are led by promotion, hence no promotion, no sales.

Customer preference and personalization – this is likely never going to happen in retail, why? Because retailers don’t even have customer intimacy. This is because they rely their analysis on purchasing behavior, which is what customer do, but not what customer are. You have to interact and understand why customer behave – that’s what customer intimacy is. For instance, several customers tend to purchase snack and sodas during Thursday or Friday because they plan to hold a part during weekend, but store ends up have sales promotion during weekends. Social media and influencers also play an important role in persuading customers to buy certain items, by the time retails notice that trends, it already fades out or other retailers already picked it up and sold their items already. Not to mentioned, preferences and personalization has to be done in almost real time due to the dynamics of customer needs. Hence, an end-to-end process of customer profiling, campaign and promotions and reach out has to be integrated seamlessly.

IPHSM Alumni Talk EP02

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Today, we talk with Dr. Nattapong Tuntiwiwattanapun from Environmental Research Institute Chulalongkorn University, graduate from IPHSM program batch 8. He shares his work and research experience in the area of Environmental Management especially how he carries out his research in Nan province. He can be reached at Nattapong.T@chula.ac.th

#IPHSM #organic #agriculture #biodiversity #environment

Interview Session with Dr. Eakalak Khan

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During this session, we gained insight into Dr. Eakalak Khan’s personal journey that inspired him to pursue environmental studies at a young age. His passion for working outdoors eventually led him to the field of environmental management, where he currently focuses on important issues such as water reuse and drought management, which play a crucial role in addressing climate change. To learn more about his experiences and perspectives, we encourage you to watch the video below.

He can be reached at https://www.unlv.edu/people/eakalak-khan

Interview session with Dr. Worawut

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Today, we talk with Dr. Worawat Meevasana  from School of Physics, Institute of Science, Suranaree University of Technology  From School of Agricultural Resources. During the early stages of Quantum Physics in Thailand, he imparted his knowledge and research experience in the field. He could be reached at worawat@g.sut.ac.th

Occupational Health Risk Assessment during high PM2.5

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https://www.linkedin.com/in/mark-robson-9710b211/
https://plantbiology.rutgers.edu/faculty/robson/mark-robson.html

Farmers who work outdoors during periods of high air pollution face several potential health risks. These risks can include respiratory problems, cardiovascular disease, and cancer. To conduct a risk assessment for environmental health, it is important to consider factors such as the type and severity of pollutants present in the air, the duration of exposure, and the individual susceptibility of the farmers.

One approach to risk assessment is to use air quality indices (AQIs) to measure the level of air pollution in the area where the farmers work. AQIs take into account various pollutants, such as ozone, particulate matter, and nitrogen dioxide, and provide a rating that indicates the level of risk posed to human health. Farmers who work in areas with high AQI ratings may be at greater risk of developing respiratory or cardiovascular problems.

Another important factor to consider is the individual susceptibility of the farmers. People with pre-existing respiratory or cardiovascular conditions, or who are elderly or very young, may be more vulnerable to the effects of air pollution. In addition, farmers who smoke or who have other lifestyle factors that increase their risk of disease may be at greater risk from exposure to air pollution.

To reduce the risk of health problems for farmers who work outdoors during high air pollution periods, it may be necessary to take measures such as providing protective equipment, changing work schedules to avoid peak pollution times, or relocating work activities to areas with lower pollution levels. It may also be important to educate farmers about the risks of air pollution and ways to reduce exposure, such as avoiding strenuous activity during high pollution periods and using air filters in indoor spaces.

Leveraging Machine Learning in Your Retail Demand Forecasting

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Today’s retail planners are responsible for tracking and responding to hundreds of factors continuously impacting retail demand. In this webinar, RELEX experts share real-world insights and examples to demonstrate how retailers have successfully leveraged machine learning to manage this vast amount of data.

Those who watch this webinar will come away with answers to questions like:

  • What is machine learning, and how can it help retailers solve their most critical demand forecasting challenges?
  • How have top companies implemented machine learning to improve their retail demand forecasting?
  • How can machine learning work for your business and its unique retail demand planning challenges?

Thank you for tuning in | RELEX Solutions

Session with P’Jack EP22

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In this session, P’Jack shares what type of skill set is required to be a Data Analyst, also the type of work and responsibilities. Finally, the software they often use in today’s industry.

Contact : linkedin.com/in/pichit

Session with P’Jack EP21

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In this session, P’Jack shares his experience dealing with change request, the types of CR and activities performed (processes), also he shares success factors and issue that may occur when caring out CR.

Contact : linkedin.com/in/pichit

Session with P’Jack EP20

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In this session, P’Jack wraps-up data engineer’s role and responsibility, knowledge and skill set required and engagements with other departments for those who are interested to work in this position.

Contract : linkedin.com/in/pichit

Session with P’Jack EP19

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In this session, P’Jack shares the roles and function of production/operation support that is related to data engineers. Including the skills set and knowledge require for this function.

Contract : linkedin.com/in/pichit

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