Shoppers ask questions before they are willing to buy
Product guidance, stock or compatibility information and policy answers can reduce the number of purchases abandoned for one missing detail.
Remove uncertainty before checkout.
AI communication for online stores
AI agents for e-commerce businesses
The AI receptionist that helps online stores turn questions into completed orders. Answer product and order questions, guide customers through the next step, support returns and follow up suitable opportunities without forcing shoppers to wait for an email.
- Voice + website chat
- Inbound + outbound
- Appointments and follow-up
- From $299/month
The opportunity you may not be seeing
A shopper with one unresolved question is often one step away from abandoning the purchase.
SEO Clicks Pro uses AI reception in ecommerce to remove the unanswered-question gap between product interest and checkout. Online shoppers expect the store to be available even when the support team is not. One unanswered compatibility, delivery or returns question can be enough to end purchase intent.
For e-commerce, the first useful distinction is whether the person is deciding what to buy, needs help with an existing order or should be routed to a human exception path.
Questions worth asking
- How many shoppers leave because they could not get an answer quickly?
- How many product questions reach a shared inbox and never receive a useful reply?
- How many high-value carts need a human follow-up?
- How much support time is spent answering the same order questions?
Match the agent to the commerce problem
Pre-purchase conversion, post-purchase support and retention are three different jobs.
The agent should start where conversational friction is costing the store the most money or support time.
Order-status, returns and routine questions dominate the queue
The agent can handle approved repetitive support and escalate exceptions with the order context already attached.
Give humans the exceptions, not every lookup.You want abandoned intent, wholesale leads and repeat purchase follow-up connected
Now the agent becomes part of CRM and commerce operations rather than a standalone support interface.
Use conversation across the customer lifecycle.Built around your working day
Add a conversational layer across product questions, order support and purchase recovery.
The agent can use approved catalogue and policy information, support routine order conversations, reactivate authorised leads and escalate complex product or fulfilment problems.
Product guidance
Answer approved questions about products, sizes, compatibility, stock and delivery.
Order support
Handle order-status questions and route exceptions to the correct support process.
Returns and exchanges
Explain approved policies and collect the information needed for the next step.
Recover purchase intent
Follow up suitable form, quote or high-value enquiry records with permission.
Abandoned-cart support
Where the permitted workflow exists, guide customers back to the product or checkout path.
Upsell and cross-sell
Present relevant approved products, bundles and accessories without inventing availability.
Wholesale enquiries
Qualify business buyers by product need, quantity, timeframe and contact details.
Unified customer history
Return the conversation summary and outcome to the store, CRM or automation workflow.
Commerce conversation lifecycle
The same shopper creates different value before checkout, after purchase and when they return.
We route the conversation by lifecycle stage so support and sales logic do not fight each other.
Inbound and outbound communication
Pre-purchase questions and post-purchase support should not compete for the same path.
Pre-purchase product question
A customer has a product question and does not want to wait for an email reply. The AI answers from approved product information, sends the right link and routes unusual issues to support.
Abandoned intent and reactivation
The store has permitted high-intent enquiries or past customers suitable for a campaign. The AI can follow up, answer questions, send product links and identify purchase intent.
Always-on routine support
Evenings, campaign spikes and support backlogs are where a conversational layer can keep high-intent shoppers from waiting for the next inbox shift.
Complex order or product escalation
Depending on the connected systems, it can create a support task, pass order context to a person, send an approved follow-up or route a wholesale opportunity.
Built on request
Start where support friction is leaking conversion or staff time.
We build the commerce agent around the store’s catalogue, policies and customer lifecycle, then provide a private test channel for pre- and post-purchase scenarios.
Map the commerce lifecycle
The knowledge base is assembled from your approved catalogue, FAQs, policies, service hours and customer-support processes.
Connect approved product and policy knowledge
The agent receives approved product knowledge, policy rules, customer-service language, qualification logic and escalation paths.
Test pre- and post-purchase scenarios
We test product questions, order status, returns, abandoned intent and wholesale enquiries so the store can expose weak rules before customers do.
Connect commerce data and human exceptions
Once approved, the authorised commerce, CRM, messaging and support integrations are connected and tested against real exception cases.
Questions we need answered
The agent needs catalogue rules, order systems, returns policy and escalation logic.
Before launch we define what the AI may say about stock, compatibility, refunds, delivery and pricing, and which exceptions require support staff.
Discovery checklist
- Which product data source is authoritative?
- What can the AI say about stock, delivery and returns?
- Which issues require a human support agent?
- Which CRM, store or ticketing system receives the outcome?
- Which marketing lists and follow-up messages are approved?
Always-available coverage
Commerce conversation coverage starts at $299 per month.
The commerce-conversation entry level currently includes 200 conversation units; integration depth, outbound recovery and higher volumes are confirmed separately.
Request my tailored AI agent →Built on request. Tested privately before commitment.
Frequently asked questions
Questions about AI reception for E-commerce Businesses.
We agree on access to order data, customer information, routing and connected actions before the agent handles live traffic.
Request an industry agent →Can it see live stock?
Only if the store system or integration exposes reliable stock information. Otherwise it must use approved, clearly limited answers.
Can it handle refunds?
It can explain the approved process and collect details, while staff or the store system handles the actual decision.
Can it support sales calls?
Yes. It can answer questions, qualify business buyers, send product links and route high-intent shoppers.
Can it call customers?
Outbound calling requires approved lists, lawful contact rules and a clear customer-service or sales purpose.
Can it work with an existing helpdesk?
The integration and webhook path are checked before launch, with outcomes mapped to the store’s workflow.
Built on request
What happens when product uncertainty and routine support stop becoming checkout friction?
Tell us whether the bigger problem is product uncertainty, order support, abandoned intent or wholesale leads. We will build that lifecycle into the private test agent.