At SpurtCommerce, we're always exploring how to simplify architecture while scaling smarter. MongoDB's latest features — especially in vector search, time series, and queryable encryption — open up exciting possibilities:

• Smarter product search using vector embeddings
• Real-time analytics with time-series data
• Secured customer data with field-level encryption

Big thanks to the MongoDB team for the insights. We’re excited to apply these capabilities to enhance our marketplace engine for the future of eCommerce.

What is Vector Search? And why it matters in eCommerce.

In traditional search, users type "blue t-shirt" — and only exact matches show up.

But with vector search, the system understands the meaning behind words.

So if someone searches "trendy top under ₹500 for women", vector search can show the right products — even if the words don't exactly match.

At SpurtCommerce, we’re exploring how AI + vector-based search can make product discovery smarter, faster, and more personalized.

The future of eCommerce search isn’t just about keywords — it's about understanding intent.