top of page

MLTA's APIC 2024 Korea Seminar Program Finalized

Updated: Mar 20

Whether you are planning to attend the APIC 2024 (the Asia Petrochemical Industry Conference) in person or not, mark your online calendars for May 30th (Thursday) and May 31st (Friday). Over these two days, MLT Analytics will be presenting a series of insightful seminars that will outline strategies and solutions for polymer and petrochemical manufacturers to up their game in what is an increasingly competitive market.

Below are details of the four seminars, which can be attended in-person for delegates registered for APIC 2024 at no additional cost, or virtually for those who are unable to attend, and also free-of-charge. The in-person venue is the Grand InterContinental Seoul Parnas, Korea.

Click here to register.

Seminar 1: How to add value to your polyolefins business

Plastics manufacturers are facing increased competition in the commodity segment of the industry from low-cost Middle Eastern suppliers and Chinese producers who are rapidly expanding capacity. Simultaneously, low-cost production of specialty polyolefins in North America that finds its way to Asia complicates the competitiveness dynamics. This seminar will address optimum strategies for establishing a profitable presence in the high-added value polyolefin market segment.

Seminar 2: Trade data analysis using machine learning

Raw customs data can be a handful to analyze due to misspelling of grade names, misreporting under the wrong HS code, use of legacy company names, and lack of detail in product descriptions. MLT Analytics has developed analytical tools that deploy machine learning to cut through the confusion and deliver detailed analysis at the product grade level, mapping grades to conversion processes and applications with up to 98% coverage of imported/exported volume versus the typical two-thirds maximum possible using manual analysis. Further, monthly updates can be delivered much faster than the manual method.

Seminar 3: AI-based Sales Forecasting

Producers of polymers and associated products such as additives and masterbatches have traditionally forecast sales based on past performance and having sales and marketing ears close to the ground. While this approach can work to an extent, artificial intelligence (AI) can also be deployed to identify correlations between sales track records and various parameters such as purchasing managers indices (PMIs), factory operating rates, and consumer purchasing patterns. MLT Analytics has developed analytical tools to forecast the direction of sales over a 12-month period or more with a high degree of confidence. Multiple scenarios can also be created based on market sentiment from the ground.

Seminar 4: AI-based Price Forecasting

Whether you are looking for short-term forecasts for revenue estimation or long-term forecasts to establish the case for new investments in production capacity, MLT Analytics has the capability to develop forecasts for feedstock and polymer pricing based on AI tools that identify correlations between the various products, market indices, oil prices, and other factors. Once again, various forecasts can be generated based on high raw material price, low raw material price and base case scenarios, while disruptive events can also be incorporated into the modeling.


(Venue: Grand InterContinental Seoul Parnas, Korea)

Click here to register.


bottom of page