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Stranger Danger: How Well Do You Know Your AI?
Global street smarts through culturalization.
Case Study: Multilingual Retail Marketing
New AI Content Creation Solutions for a Sports and Apparel Giant
Every customer touchpoint is critical for retailers. Whether customers engage through mobile, your website, chat, phone, or email, they expect each interaction to feel personalized.
Delivering a standout customer experience requires robust omnichannel global marketing strategy. Your multilingual content marketing must seamlessly, consistently deliver the right messaging in the right language.
Partner with Lionbridge. We’ll help you create and localize compelling content that connects with every customer—regardless of language or location.
For powerful global marketing, it’s critical to get local.
60% of consumers expect service in their native language when they reach out to brands.
The top 25 websites of 2022 support an average of 59 languages.
The top 4 languages spoken by Internet users: English, Chinese, Spanish, and Arabic. Top four used on websites: English, Russian, Spanish, French
Yes, to some extent. Language Service providers like Lionbridge use AI-powered solutions to automate parts of retail translation. It’s critical to retain a human in the loop to ensure the translations are accurate, carry the brand voice, etc.
Retail translation and interpretation services can vary, especially due to length of content, language, and how much human review is required. Using AI-powered solutions can help cut costs significantly.
Retail interpretation and translation help you reach new markets. Per research, people are far more likely to buy from a company that offers content and support in their own language. Using these services is crucial for a more robust ROI.
Many retail brands are relying on providers like Lionbridge AI to collect, label, and annotate data for enhanced customer journeys and operations. This investment can lead to significant boosts in sales, globally and locally. AI data services are typically applied to personalizing marketing and recommendations, AI-powered customer service, optimizing pricing and supply chains, detecting fraud, analyzing customer reviews and behavior, improving in-store experience, providing visual search options for customers, and even offering VR and AI for try-on-style features.