Answer product, delivery, return and business questions using the merchant's available evidence.
Ask Nira product
One AI layer for shopper questions, buying intent and commerce insight.
Ask Nira combines a store-grounded shopping assistant with behavioural intelligence, controlled proactive assistance and commercial reporting so ecommerce teams can help shoppers and understand more of the journey before conversion.
Grounded in store evidenceTest before launchInstall with script, AI or MCPAttribution confidence stays visible
01
Help shoppers find and understand products
Use conversational product discovery instead of forcing every shopper to know the exact product name or browse every page.
Recommend relevant products with product context and direct links where supported by the store data.
Support English, Hindi and Hinglish conversations while preserving store facts.
Use merchant-managed knowledge to fill important information gaps that are not clearly published on the website.
02
Understand shopper intent and hesitation
Keep behavioural intelligence separate from the attribution ledger while using explainable signals to understand what a visitor may be trying to do.
Identify patterns such as browsing, research, comparison shopping, high intent and cart hesitation when the available evidence supports them.
Use shopper journey states to give merchants context around what happened before a conversation, cart event or purchase.
Apply merchant-selectable ecommerce playbooks for general ecommerce, beauty and skincare, fashion, electronics and baby care.
Keep behavioural inference distinct from verified commercial events instead of presenting intent as proof of causation.
03
Assist proactively without turning the site into pop-up warfare
Nira's proactive decisioning is designed to default to silence and use the existing assistant surface when configured conditions justify help.
Offer contextual assistance for comparison, product hesitation, cart hesitation, shipping concerns and return-policy concerns.
Use frequency caps, conversion guards and dismissal outcomes to control repeated interventions.
Reuse the canonical Ask Nira widget rather than adding a second competing chat experience.
Run prompt-copy experiments with stable anonymous assignment and optional segment targeting.
04
Measure what shoppers engaged with and what the evidence supports
Connect conversations to product engagement, cart activity, checkout and purchase events while keeping confidence labels explicit.
Track product-card impressions and clicks and detect common add-to-cart actions from the storefront loader.
Report direct and assisted purchase attribution without claiming that every influenced session was caused by Ask Nira.
Review knowledge gaps, unavailable-product demand, AI resolution signals, human handoff and estimated cost per resolved question.
Keep browser-reported purchases separate from verified server or commerce-platform events.
See how Ask Nira works with your own store.
Create an account, add your website, test the assistant and choose an installation path when you are ready.