Diving into the future of online shopping, CJ Onstyle has dramatically transformed its mobile application into a cutting-edge video shopping platform powered by artificial intelligence. The innovative move, announced on the 15th, marks three years since the creation of the brand, which combines mobile and TV shopping experiences under the CJ Onstyle umbrella.
In this bold makeover, CJ Onstyle leverages the power of AI to deliver a highly personalized shopping experience. The new app forensically analyzes customer behavior history, including past purchases, searches, and clicks, extracting preferences and suggesting customized products and video content. Covering categories such as fashion, luxury, beauty and lifestyle, the app aims to improve both customer engagement and overall app conversion rates by streamlining the shopping process.
On the user experience front, short-form videos greet customers and highlight trending products and promotional deals, rather than traditional image banners. In addition to showcasing the latest style tips, home hacks, and mukbang sessions, these “shorts” are hand-picked to reflect your personal tastes and are a collection of personalized video content that provides endless entertainment. is forming.
CJ Onstyle further enhances navigation and introduces quick access menu icons that make it easier to discover key categories such as fashion, luxury, and new arrivals. At the same time, a dedicated tab spotlights his popular Live Mobile programs and fosters a strong community around areas such as digital gadgets, family life, and beauty tips and tricks.
This isn't the end for CJ Onstyle. The revamped app aims to appeal to his savvy 30-something and 40-something demographic with his two-pronged approach: a professional mobile app channel and an exclusive YouTube livestream. . As part of their efforts to pioneer a lifestyle where shopping and video content seamlessly blend, they are passionate about engaging young audiences and setting trends across the digital landscape.
Current market trends
Integrating AI into retail is an important trend as companies seek to personalize shopping experiences and streamline operations. AI can provide customer insights, automate inventory management, and optimize supply chains. Video shopping platforms combine the lucrative benefits of online content with the immediacy of online shopping, a trend accelerated by the COVID-19 pandemic as consumers shift to online transactions.
Live commerce, or live stream shopping, is a growing trend, especially in Asia, where influencers showcase products in real-time, effectively blending entertainment with instant purchasing opportunities. This type of interactive shopping is gaining popularity all over the world.
Another trend is the use of short-form video content, popularized by platforms like TikTok and Instagram. Retailers are now leveraging this format to engage customers and capture their interest with bite-sized, fun content that also serves as a marketing tool.
forecast
The use of AI in retail is expected to continue to grow, with the global AI retail market size expected to reach multi-billion dollar valuations in the coming years. Video shopping platforms are likely to evolve and become more sophisticated, and live commerce is becoming a standard feature across retail apps.
Short-form video content is expected to remain a key engagement strategy, and platforms are likely to develop new features to make these videos more interactive and shoppable.
Key challenges and controversies
One of the key challenges in implementing AI is ensuring customer privacy and data security. Retailers must walk the fine line between personalization and intrusion to avoid alienating customers. Regulatory compliance with data protection laws, such as the European Union's General Data Protection Regulation (GDPR), is also important.
Another challenge is ensuring that AI systems eliminate biases that could lead to unfair treatment of certain customer groups. If AI isn’t properly trained on diverse datasets, you run the risk of perpetuating stereotypes and excluding potential customers.
There is potential controversy regarding the changing employment landscape, as AI and automation could replace certain retail jobs, potentially leading to discussions around reskilling and workforce transitions .
Advantages and disadvantages
advantage:
1. Increased personalization increases customer satisfaction and loyalty.
2. Increased efficiency in inventory and supply chain management.
3. Improve product discoverability with video content and AI recommendations.
4. Interactive shopping experiences increase sales and conversion rates.
5. You have the potential to reach a global audience through digital platforms.
Cons:
1. Customer Privacy Concerns and Potential Data Breach.
2. The cost of implementing AI technology and content creation is high.
3. Risk of technical challenges or failures affecting the shopping experience.
4. The need for continuous AI training and data maintenance.
5. Possibility to create complex systems that may be overwhelming for some users.
To learn more about the evolution of online shopping platforms and the use of AI in retail, check out the platforms working on these innovations. To learn more about these trends, visit Amazon's homepage or Alibaba Group to see how large retail platforms are leveraging technology.
