Product match
Use Case
Turn product questions into guided shopping and automated follow-up.
Use Trigz to help shoppers choose products, answer repeated questions, generate product content, and follow up when customers leave before checkout.
Better product discoveryFaster customer answersCart follow-up workflowsProduct content automation
Commerce chatE-commerce
Discount shown
Add to order
Product cards in chatProduct advice appears as cards customers can act on.
See the use case Use case snapshot
The fastest way to understand the opportunity.
Primary teamE-commerce, growth, support
First workflowProduct Advisor
Recommended templateProduct Advisor
Key channelsWidget, WhatsApp, Instagram, Messenger
Knowledge neededProduct data, FAQs, policies
Main metricRecommendation engagement
The problem
E-commerce teams lose sales opportunities when shoppers do not get fast guidance.
Shoppers often need help choosing, comparing, understanding policies, or resolving hesitation before purchase. When teams rely only on manual responses, product questions repeat, carts are abandoned, and high-intent shoppers may leave without a clear next step.
Capability moment
A commerce interaction should turn product interest into a clear next action.
Product Advisor asks questions and recommends relevant options.
Product cards in chat
Product advice appears as cards customers can act on.
How Trigz solves it
Trigz helps commerce teams guide, answer, and follow up.
AI agents and automations work best when the request, knowledge, action, handoff, and measurement path are clear.
Guide product discovery
Product Advisor asks questions and recommends relevant options.
Answer product and policy questions
FAQ Assistant responds using approved product and support knowledge.
Automate content production
Product Description Generator creates structured product copy.
Follow up after cart abandonment
Abandoned Cart Flow triggers timely follow-up and routes questions.
Experience path
How e-commerce works in practice.
A strong first launch starts with a clear request, moves through configured knowledge and actions, then improves as the team reviews real outcomes.
Shopper asks for help choosing
Product Advisor asks clarifying questions
Agent uses product data and FAQs
Shopper receives recommendation
Cart event can trigger follow-up
Complex or high-value inquiry hands off
Team monitors engagement and knowledge gaps
Recommended AI templates
AI templates to kickstart this use case.
Start from one AI template, then add adjacent templates once the first path is working.
Product Advisor
Best first template for commerce product discovery.
Guided questions and relevant recommendations.View AI TemplateFAQ Assistant
Supports product, shipping, return, and order questions.
Repeated answers and fallback.View AI TemplateProduct Description Generator
Helps catalog teams create structured content faster.
Product descriptions, summaries, and SEO fields.View AI TemplateAbandoned Cart Flow
Follows up when shoppers leave before purchase.
Cart reminders, replies, and handoff.View AI TemplateROI impact model
Where e-commerce teams can see measurable impact.
Use these targets as planning benchmarks. Channel and cart event availability depends on setup.
Expected value targets
Numbers to validate for E-commerce.
Use these as planning targets for the first pilot, then compare them with the results your team measures after launch.
revenue opportunity lift
Target upside from guided recommendations, lead capture, and cart follow-up.
fewer product questions
Target reduction in repeated product and policy questions reaching the team.
faster content drafts
Target speed improvement for approved product descriptions and structured catalog copy.
Connections
Connect the channels, knowledge, and actions this use case needs.
The right setup depends on where the request starts and what should happen next.
Channels
WidgetWhatsAppInstagramMessengerForms
Knowledge
Product catalogProduct FAQsShipping policyReturn policyPromotionsBrand tone
Actions and integrations
Recommend productAnswer questionCapture leadTrigger follow-upRoute to supportGenerate content
Commerce events and custom integrations depend on setup and connected systems.
Human handoff and control
Keep humans involved when judgment matters.
Configure handoff before launch so the workflow is useful while keeping the right requests with people.
Handoff triggers
- High-value product inquiry
- Customer complaint
- Complex order issue
- Missing product data
- Payment or refund question
- VIP customer
Control checklist
- Review connected knowledge
- Configure fallback
- Define workflow owner
- Test edge cases
- Monitor handoff rate
Metrics and dashboard
Measure what changes after launch.
Use the first dashboard to watch activity, handoff, completion, and knowledge gaps.
Getting started path
Launch one focused use case first.
Related use cases
Explore adjacent use cases.
FAQ
Common questions.
Is Trigz only for e-commerce?
No. E-commerce is a strong starting wedge, but Trigz is designed for broader customer and business workflows.
Can Product Advisor recommend products?
Yes, when configured with product data and recommendation logic.
Can Trigz support WhatsApp-heavy commerce?
Yes. WhatsApp is active, and Trigz can also support widget, Instagram, and Messenger customer paths.
Can it recover abandoned carts?
It can support abandoned cart follow-up where cart events and follow-up channels are configured.
What should we measure first?
Recommendation engagement, product questions resolved, and cart follow-up engagement.
Ready to guide more shoppers with Trigz?
Start with product discovery, then expand into FAQs, cart follow-up, and product content automation.