PTT Polymer Marketing (PTTPM), a subsidiary of PTT Group, has embraced artificial intelligence (AI) for letters of credit (LC), making it the first firm in Asean to improve its international trade process efficiency.
“Emerging technologies like blockchain and AI help improve import and export efficiency, not just in the private sector but also at the national level,” said Narongchai Pisutpunya, president of PTTPM, a polymer sales and marketing company.
In the past six months, PTTPM adopted IBM’s Watson, an AI tool, for LC verification of export sales documents.
Global trade via LC amounts to UScopy.6 trillion (50.8 trillion baht). As PTTPM exports polymer products overseas, LC is a major payment method that facilitates business expansion.
Reviewing LC applications and original LCs is a repetitive process, requiring PTTPM’s LC verifiers to spend at least 30 minutes per LC, or up to three hours in more complex cases.
Verifiers need at least five years of experience, as any errors can cause longer or repeated reviews, which could delay product delivery.
While AI can work with a wide variety of data types without any additional integration, it understands the language of industries and helps PTTPM leverage data from a broad range of sources with ease.
With natural language understanding and natural language processing models, as well as machine learning capability, PTTPM staff can train Watson to review LC terms and conditions bias-free and contextually adapt to the industry, without requiring coding or deep technical skills.
PTTPM can effectively manage and automate LC verification of export transactions and perform pattern-based contextual fraud analysis while also eliminating human error and solving the problem of limited LC experts.
“After testing, AI can verify one LC per second, consequently reducing document processing time from seven days to two days,” Mr Narongchai said.
This upgrade helps create new customers, as every transaction will be smarter, quicker and more cost-efficient, features that are important for competing internationally, he said.
PTTPM is also embracing blockchain technology in Thailand’s first blockchain-based letters of guarantee project too improve efficiency through secured electronic documentation, which can cut costs by half.
The project, under the Thailand Blockchain Community initiative, is being carried out by 14 Thai banks, three state enterprise and four large corporations.
The system is being tested in the Bank oh Thailand’s regulatory sandbox and is expected to launch in the third quarter this year.
“The study found that the export ordering process has some 100 communications via email that can cause human error, ” Mr. Narongchai said. “AI and blckchain can make this process more efficient.”
Wiboon Thanandornsuk, country manager for industrial and distribution at IBM Thailand, said AI adoption is increasing due to the rapid data explosion in many areas.
This article was originally published on www.bangkokpost.com and can be viewed in full
Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)