Key takeaways
- Live chat for e-commerce means your team answering in real time – strong on judgement, limited by hours and headcount.
- AI chat answers product, order and policy questions at any hour and in the shopper’s language, without hiring more people.
- They work best together: the AI takes the routine conversations, your team takes the ones that need a decision.
- The handover makes or breaks the setup – the shopper should never have to explain the problem twice.
What is live chat for e-commerce?
Live chat for e-commerce is a chat window on your store where your team answers shoppers in real time. Done well, it is the closest thing online to a good seller on the shop floor: a person who reads the situation, makes a call on an exception and calms down a customer whose parcel arrived broken.
Its limits are just as human. Live chat works only while someone is logged in, each agent can follow a few conversations at once, and every extra hour of cover or extra language means another person on the schedule. That is why so many store chat windows read “We’re offline – leave a message” for most of the week’s hours.
Live chat vs AI chat: side by side
AI chat here means an AI agent built for e-commerce – one that answers from your catalogue, orders and policies – not the old scripted chatbot that offers a menu of buttons and guesses at keywords.
| Live chat | AI chat | |
|---|---|---|
| Who answers | Your team | An AI agent working from your catalogue, orders and policies |
| Hours | While someone is logged in | 24/7, weekends included |
| Busy periods | The queue grows, or you add people | Answers every conversation at the same time |
| Response time | From seconds to minutes, depending on the queue | Within seconds |
| Mood and patience | Human – tiredness, a long shift or a bad day can show in the replies | The same patient, polite tone at 9:00 and at 3:00 |
| Product questions | As good as the agent’s product knowledge | Answers from the whole catalogue – specs, sizes, compatibility – and shows the products in the chat |
| Order status | The agent looks it up in the admin | Checks the order once the customer confirms it’s theirs |
| Languages | The languages your team speaks | The shopper’s language |
| Exceptions, complaints, upset customers | Strong – a person can make the call | Hands the case over to a person |
| Cost as you grow | More hours and languages mean more people | Usually priced by conversations, not by seats |
That difference changes the old “chatbot vs live chat” question. A scripted bot loses that comparison every time, because it can’t handle anything off the menu. An AI agent handles the open questions too – so the real question becomes which conversations still need a person. If you’re weighing the bot itself, see AI agent vs chatbot.
Where live chat alone runs out: hours and volume
Across the stores AskSpot runs on, 56% of conversations arrive outside Monday to Friday, 9–17 – in the evening, at night and at weekends, when a typical support team is offline. A live chat staffed in office hours misses more than half of its own demand, or turns it into a contact form that gets answered the next morning, after the shopper has bought somewhere else.
The mix of questions is the other half of the problem. About half of chat conversations are product questions – “which size?”, “is there a left-hand version?”, “will it fit?” – and around a quarter are about orders. For your team they are repetitive; for the shopper they are urgent.
56%
of conversations arrive outside Mon–Fri 9–17
AskSpot Internal Data
~50%
of chat conversations are product questions
AskSpot Internal Data
~25%
of questions are about orders
AskSpot Internal Data
What AI chat handles, and what still needs a person
AI chat is at its best on the questions your catalogue, order system and policies already answer:
- Product advice – comparing models, sizes, specs and compatibility, with the products shown right in the chat.
- Order status – “where’s my order?”, delivery times and tracking, once the customer confirms the order is theirs.
- Store policies – delivery options, returns, payment methods.
- Evenings and weekends – the same answers at 23:00 on a Sunday, in the shopper’s language.
Your team is still the right answer for:
- Complaints that need a decision – a damaged delivery, a refund outside the usual rules.
- Exceptions – anything that means bending a policy.
- Custom quotes – large or B2B orders where the price is negotiated.
- Customers who simply want a person – and should get one without a fight.
For a fuller split – what AI resolves end to end, what it prepares for your team and what stays human from the start – see AI customer service for e-commerce.
The point isn’t to take people out of chat – it’s to stop spending them on questions your catalogue already answers.
How AI chat and live chat work together: the handover
The handover is where shoppers decide whether the setup works. When the AI can’t resolve a case, or the customer asks for a person, the conversation should move to your team with its context – never back to square one. Depending on how your store is set up, AskSpot does it in one of three ways.
1. From the AI chat to your live-chat tool
The AI chat steps aside and opens your store’s own live-chat widget, and your agent takes over there – with the conversation and a short summary passed along. Your team keeps working in the tool it already knows. This is the standard setup on stores running Thulium.
2. Your agent joins inside the AI chat window
Your agent can also join the same chat window and reply there, so the shopper never switches windows at all. Whether this is possible depends on your live-chat platform – it runs with Salesforce live chat, for example – so it is scoped store by store.
3. Nobody’s online: a ticket, not a dead end
Outside your hours, the AI collects the customer’s details in a short form and sends the case to your helpdesk as a ticket – already categorised and summarised, so the first person in next morning picks it up without asking again. Some stores offer a callback request at this point instead.
Which route fits depends on the tools your team already uses, and the setup is agreed with each store rather than forced on it. Senetic works this way: a quote request that genuinely needs a consultant goes to the sales team with the whole conversation attached.
spotSee the handover on your own store
Book a short demo – we’ll show the Agent and your live chat working together.
Which setup fits your store?
- Small team, office hours – put AI chat in front for evenings, weekends and the routine questions; your team takes the handovers during the day.
- High chat volume – the AI answers the bulk, so your live-chat agents spend their time on cases that need judgement, not on clearing a queue.
- Several markets – the AI answers in each shopper’s language, and your team covers the conversations that need a person.
- Already running live chat – keep it. Put AI chat in front and connect the two instead of replacing the tool your team knows.
- No live chat at all – AI chat can run on its own, with handovers going to your inbox or helpdesk as tickets.
Whichever you pick, judge it by how many conversations were actually resolved and how many were handed over – and why – not by how quiet the live-chat queue got. A handover isn’t a failure; a shopper stuck in a loop is. AskSpot has a 7-day free trial with no card, so you can see the split on your own store before you decide.
FAQ
Can AI chat replace live chat?
For most routine conversations – product questions, order status, store policies – yes, and at any hour. Complaints that need a decision, exceptions and customers who want a person still need your team, so most stores do best with AI chat in front and live chat behind it.
What is the difference between a chatbot and live chat?
Live chat is your team answering shoppers in real time. A chatbot answers automatically: older scripted bots follow fixed menus, while an AI agent answers open questions from your catalogue, orders and policies, and hands over to a person when needed.
Does AI chat hand over to a human?
It should. AskSpot opens your store’s live chat and passes on the conversation with a summary, lets your agent join inside the chat window where the platform allows, or – when nobody is online – sends the case to your helpdesk as a categorised, summarised ticket.
Do I have to switch my live-chat tool?
No. The AI chat sits in front of the tool you already use, and the handover is set up to fit it.
Is live chat worth it for a small online store?
For the conversations that need a person, yes. But a small team can’t cover evenings and weekends, when more than half of conversations arrive. AI chat covers those hours and the routine questions, so your team’s chat time goes where it matters.
