1How do you use agentic bundles to raise AOV?
Deploy a merchandiser agent that reads cart contents, checks inventory, and builds bundles on the fly. It can upsell accessory SKUs when margin allows, or swap to replenishment offers when inventory is tight. Give it guardrails like max two prompts per session and only target shoppers above a certain spend. Result: shoppers feel guided, AOV rises without blanket discounts.
Feed the agent SKU-level gross profit and fulfillment SLA so it never pushes bundles that clog operations.
2Can AI run continuous CRO tests without your analysts?
Yes. Launch an experiment agent that cycles microtests (headline, CTA, payment icons) based on live metrics. It promotes winning variants automatically once statistical confidence is hit. Set fail-safe timers and require human review before it modifies navigation or checkout steps.
Log every test in a centralized journal so designers and copywriters learn from the agent’s findings.
3How do you personalize support-to-cart handoffs?
Use a support agent that monitors chat transcripts, identifies buying signals, and pre-builds carts or discount codes. When confidence exceeds a threshold, it invites the shopper to a one-click checkout link. This reduces drop-off between intent and payment, especially for high-consideration SKUs.
Route VIP shoppers to a human co-pilot when order value exceeds a set limit; AI handles the rest.
4What about dynamic pricing without chaos?
Spin up a pricing agent that adjusts price within a tight band based on inventory cover, demand spikes, or VIP status. It must respect compliance rules, keep price history for audits, and slow down during major promos so you retain brand trust.
Expose pricing decisions in a dashboard so merchandising can override when launching curated campaigns.
5How do you turn post-purchase flows into CRO gains?
An order follow-up agent analyzes delivery speed, support tickets, and repeat purchase probability. It can trigger instant satisfaction surveys, reorder nudges, or loyalty tier upgrades. By closing the loop, you convert satisfied customers faster and feed the data back into acquisition agents.
Connect your reviews app so the agent can automatically request UGC when sentiment is positive.