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Multilingual Digital
Shopping Assistant

The global face of digital
shopping assistants

What is a multilingual
chatbot?

With the global evolution of the retail landscape, one thing is clear, technology must keep up with geographies, and communication is a top concern in this area. For digital shopping assistants powered by AI, having multilinguistic capabilities has never been more important, as they allow retailers to connect far and wide with people from all corners of the globe.

Audiences across geographies now have high expectations from digital shopping assistants on
e-commerce sites, making the ability to converse in local languages and understand intents with ease a business priority.

Retailers can have the most sophisticated digital shopping assistants, but if they are unable to deliver on this front, it limits their business outcomes. Accessibility of language leads to engagement, conversions and all the other good stuff retailers aim for, so adding capabilities in terms of chatbots that can detect, translate, and respond using the power of Natural Language is key.

Making digital shopping assistants conversational

Conversational flow

Conversational etiquette varies not just in different countries, but regionally too, making the quality of the digital assistant's personality and training crucial before rollouts in new markets.

Language detection

For meaningful consumer interactions, digital assistants need to be trained to comprehend, analyze, and respond to queries from the local cultural and linguistic context.

Language comprehension

Digital assistants need to have the capability to intelligently grasp the intent in the consumer’s communication to better serve their needs with accuracy.

Business benefits of multilingual chatbots

Reduced operational costs:

The reduced dependency on hiring, training, and monitoring human agents to manage new markets and consumers reduces operational expenditure.

Better NPS and CSAT ratings:

Satisfied consumers are happier consumers, and retailers can now ensure that local consumers are given hyper-personalized experiences and effective real-time resolutions leading to higher NPS and CSAT ratings.

Reach more consumers:

Multilinguistic digital assistants allow for smooth expansion into new markets and geographies ensuring success with local audiences.

Conversational efficiency:

Break all conversational barriers and go local on a global scale by offering support in native languages.

Better engagement = Higher conversions:

By engaging with consumers in their preferred first language, retail brands are not only showing that they matter, but that their ease of shopping is a priority for the brand.

Go live in 4-6 weeks with SID – a digital assistant that supports 100+ international languages.

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Reach your global audiences more effectively in a language that they know and in a format they can easily access. This adds value not just to the support your brand offers, but also goes a long way in accelerating conversions and driving sales.

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As a digital shopping assistant, SID supports 100+ languages in 23+ countries

Languages supported by SID

Here’s a recap on
why you need to
invest in a multilingual digital shopping assistant before expanding to new geographies

  • Reduced operational costs
  • Better NPS and CSAT ratings
  • Reach more consumers
  • Conversational efficiency
  • Better engagement = Higher conversions
  • Support during out of office hours

Suggested reading: What is conversational commerce?

Read more

Learn more about SID’s digital shopping assistant that can support 100+ languages and go live in 4-6 weeks.

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FAQs

Chatbots can be trained to handle any number of native languages using algorithms for language models. For example, AskSid supports 100+ international languages allowing us to offer support to audiences across the globe.
If you want to expand your retail business globally, multilingual chatbots can expand sales hugely. It is proven that most consumers prefer to interact with brands in their native language, even if they are multilingual.
The following would have to be taken into account to build a multilingual chatbot that performs:
  • Know the context
  • Identify the intent
  • Identify entities
  • Select an action
  • Retrieve results/reply
An efficient multilingual chatbot can not only translate and understand multiple languages, but it can also process text and dialogues to communicate in that language, understand the culture and regional nuances, and recognize local contexts in conversation.