Appier, a leading artificial intelligence (AI) software-as-a-service (SaaS) company, announced today that its co-founder and COO Winnie Lee has been selected as "Woman of the Year" at the Women in IT Asia Awards 2022, held on June 28th.

AI SaaS company Appier (TSE: 4180) today announced the digital marketing campaign results in cooperation with the world's leading retail group Carrefour.

AI SaaS company, Appier (TSE: 4180) today announced the results and learnings of implementing AiDeal solution to identify hesitant buyers on watashi+ by shiseido taiwan. Shiseido Taiwan Group introduced timely and exclusive promotional coupons to communicate with hesitant buyers individually, allowing watashi+ by shiseido taiwan to successfully increase conversion rates by 47%, add-to-cart ratios by 28%, and transaction completion rates by 15%. watashi+ by shiseido taiwan comprises of popular skincare, makeup, and sun care brands under the Shiseido Group: ELIXIR, d

Appier (TSE: 4180) today announced the launch of BotBonnie, an omnichannel conversational marketing platform, boosting Appier's suite of AI-powered solutions that are designed to help customers intelligently navigate the complex customer journey on messenger services.

AI SaaS company, Appier (TSE: 4180) and Mingtai Insurance (Mingtai), of parent company Mitsui Sumitomo Insurance Group (MSIG) supercharges digitization with AI-informed analytics from Appier.

TAIPEI, TAIWAN- Media OutReach - 23 February 2021 -Appier, a leading artificial intelligence (AI) company, today shares AI Predictions and Trends to Watch in 2021. Artificial intelligence (AI) and machine learning (ML) have moved from the backrooms of computer science into the mainstream. Their impact is being felt in everything from how we shop through to finance markets and medical research, as well as the agriculture and manufacture industries.

TAIPEI, TAIWAN - Media OutReach - 22 February 2021 - Appier, a leading artificial intelligence (AI) company, today announces its viewpoints of challenges and opportunities when adopting Machine Learning as a Service in the real world.