Recommend relevant products
Show suitable products with available product context and direct links where the store evidence supports the recommendation.
Ask Nira combines a store-grounded shopping assistant with shopper-intent intelligence, controlled proactive assistance, commerce reporting, lead workflows and low-friction installation.
Ask Nira uses merchant evidence to help website visitors find products, compare options and understand the store without searching page after page.
Show suitable products with available product context and direct links where the store evidence supports the recommendation.
Use product pages, policies, business information and merchant-managed knowledge when answering customer questions.
Let customers ask questions naturally while keeping store facts grounded in the available evidence.
Tell customers when required information is unavailable instead of presenting unsupported store facts as known.
Behavioural intelligence is stored separately from the commercial attribution ledger and can support explainable journey states and controlled proactive assistance.
Identify patterns such as research, comparison shopping, high intent and cart hesitation when the available behavioural evidence supports them.
Use configured interventions for comparison, product hesitation, cart hesitation, shipping concerns and return-policy concerns.
Apply session frequency caps, conversion guards and dismissal outcomes instead of repeatedly interrupting every visitor.
Run stable anonymous prompt-copy experiments with optional segment and proactive-rule targeting, then compare funnel outcomes.
Give merchants a clearer view of high-intent sessions, behavioural segments, cart hesitation, proactive interventions, knowledge gaps and unavailable demand.
Review stored session evidence organised into useful, explainable shopper states.
Review cart hesitation and smart cart-recovery session context separately from direct and assisted purchase attribution.
Identify repeated questions where shoppers need information the store does not provide clearly.
See recurring product requests that the store could not satisfy or match from available evidence.
See how shoppers move from Ask Nira interactions to commerce outcomes while keeping client-reported and verified evidence clearly distinguishable.
Track product-card impressions and clicks automatically, detect common add-to-cart actions and preserve attribution context.
Separate direct and assisted influenced purchases and revenue so Ask Nira contribution is visible without claiming sole causation.
Keep client-reported browser purchase events separate from verified server or commerce-platform events so confidence is not hidden.
Review inferred likely-abandonment signals, unresolved questions and products shoppers requested but the available store evidence could not match.
Measure inferred AI resolution and recorded human handoffs when the storefront supplies the required outcome events.
Estimate AI cost per resolved tracked question when current model input and output rates are configured.
Smart Lead Capture gives eligible Business-plan merchants a configurable way to collect lead information and manage follow-up from relevant Ask Nira conversations.
Use configurable supported fields and a merchant-defined notice rather than silently collecting contact details.
Keep the captured lead associated with the relevant conversation for follow-up context.
Use matching hashed visitor context to derive available lead stage, product interest, cart value and related behavioural metadata.
Manage lead status, send configured merchant notifications and export lead records to CSV.
Every pricing tier includes the same core installation options and installation verification so setup is not used as an artificial upgrade barrier.
Add the canonical Ask Nira widget loader once in a global layout, header, footer or supported tag manager.
Use guided setup instructions designed to help a coding assistant prepare the smallest suitable installation change.
Give a compatible authenticated MCP client access to scoped installation planning, verification, diagnostics and rollback guidance.
Check that the chatbot is live, connected to the intended store and not installed twice.