E-commerce chatbot struggles to recommend products when faced with multilingual customer inputs How can this be fixed

Question

With the help of proper code in python can you tell me that E-commerce chatbot struggles to recommend products when faced with multilingual customer inputs. How can this be fixed?

Answer 1

To fix an e-commerce chatbot’s multilingual recommendation issues by integrating automatic language detection, real-time translation APIs, embedding-based intent recognition, and a multilingual product catalog.

Here is the code snippet you can refer to:

​In the above code we are using the following key points:

• Automatic Language Detection: Identifies input language dynamically.
• Real-Time Translation: Converts queries into English for seamless matching.
• Keyword-Based Product Matching: (Replaceable with embeddings for better accuracy).
• Multilingual Support: Ensures chatbot handles diverse customer queries.
• Scalable Product Catalog Integration: Allows expansion to support multiple languages.

Hence, improving multilingual support in an e-commerce chatbot requires real-time language detection, translation-based normalization, and robust product matching to ensure seamless cross-lingual recommendations.