Launch of Low-Interest Lease Products for Farmers and Dealerships
Agricultural machinery company Daedong announced on the 20th that it has signed a "Memorandum of Understanding for Strategic Financial Partnership" with BC Card and Korea Capital. Photo by Daedong
[Asia Economy Reporter Kim Heeyoon] Agricultural machinery company Daedong announced on the 20th that it has signed a "Memorandum of Understanding for Strategic Financial Partnership" with BC Card and Korea Capital.
The signing ceremony, held on the 19th at Daedong's Seoul office in Seocho-gu, Seoul, was attended by key officials including Won Yoohyun, CEO of Daedong, Choi Wonseok, CEO of BC Card, and Lee Sangchun, CEO of Korea Capital.
Through this agreement, Daedong will promote ▲ low-interest financial products for customers purchasing agricultural machinery and Daedong dealerships ▲ the launch of partnership cards for agricultural machinery customers.
Farmers and agricultural corporations purchasing agricultural machinery at Daedong dealerships can apply for BC Card and Korea Capital's retail lease products, introduced from February this year, which offer lower interest rates compared to existing lease products.
The operating conditions of agricultural machinery sales dealerships will also improve. When Daedong dealerships receive agricultural machinery supply from Daedong, they will reduce financial costs previously borne by dealerships through the wholesale lease products of BC Card and Korea Capital.
Daedong expects that the lease products will minimize dealership risks while further strengthening financial soundness. Daedong also plans to launch partnership cards that provide benefits such as point accumulation when purchasing agricultural machinery products or parts in the future.
Won Yoohyun, CEO of Daedong, said, "In the MyData era, the strategic financial partnership with BC Card and Korea Capital is a cornerstone for providing financial solution services to customers," adding, "We plan to strengthen Co-Marketing that offers optimized services tailored to each customer based on big data through further collaboration."
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