Chatbase alternative for ecommerce

Chatbase is do-it-yourself. Adelante is done for you.

Chatbase is a no-code builder, so your team writes the agent's instructions and guardrails and keeps refining them. We build, launch and run yours, and it checks who is asking before it acts on an order.

Run a 100-ticket benchmark

Send 100 recent tickets. We'll map what can be resolved by AI, what needs human judgment, and what ecommerce workflows should be automated first.

Complex ecommerce workflow

Adelante AI Agent

Ticket

Customer wants a refund after opening the product.

Ecommerce context

Policy window, order status, item condition

Adelante action

Checks rules and explains the next step

Outcome

Refund path confirmed

The difference

A Chatbase agent can look up an order and act on it too. Someone on your team still has to run it.

Chatbase

Your team runs Chatbase.

Chatbase gives you a build, test, deploy and optimize loop. You connect your data and write the agent's role and guardrails, then run customer scenarios before going live. After that you review the escalations and refine the instructions. A capable builder for a team that wants to build.

Adelante

We run yours.

We map your flows with you, connect your helpdesk and store and test the agent on your real tickets. It is live in 10 days. After that we read the conversations and fix what it gets wrong.

Your team gives direction. Adelante does the operating work.

Before it acts

“How do you know the address change is legit?”

The agent checks who is asking first, with a one-time code or the customer's identity in your helpdesk. Then your rule applies, so an address changes only before the order is fulfilled. Anything that looks like fraud goes to a person, and every action is logged to your helpdesk.

We set these checks up with you on the launch call.

The request

Can you change my delivery address?

Order placed yesterday. Nothing shipped yet.

Checked before it acts

Then the address changes.

Identity

One-time code or helpdesk identity

Your rule

Only before fulfillment

Fraud signals

Go to a person

Logged

In your helpdesk

Who does what

Every AI agent needs these jobs done.

Setting it up

Chatbase

Your team, in the builder.

Adelante

We do it with you on the launch call, then connect your helpdesk, store and shipping ourselves.

Deciding when a refund or address change is allowed

Chatbase

Your team writes the rules as instructions for the agent. Chatbase's guardrails are instructions too, and sensitive actions can be limited to the procedures you define.

Adelante

We write the rules from your policies and you approve them. The agent verifies who is asking first, with a one-time code or your helpdesk identity. Fraud signals and refunds over your limit go to a person.

Testing before launch

Chatbase

Your team runs the scenarios in the test step.

Adelante

We test the agent on your real ticket paths before anything goes live.

Reading the conversations after launch

Chatbase

Your team reviews the escalations.

Adelante

We read them. Every handoff and correction comes to us.

Fixing what it gets wrong

Chatbase

Your team refines the instructions.

Adelante

We find what went wrong and fix it.

Deciding what to automate next

Chatbase

Your team.

Adelante

We bring you the proposal with the evidence. You say yes or no.

Best for

Chatbase

Teams that want to build and run their own agent.

Adelante

Support leads who want someone else to run the agent day to day.

Proof

What done for you looks like after launch.

Outlier Group has 80%+ of tickets resolved end-to-end by AI, with Adelante running the loop. At Fold, the co-founder describes what it did for his team.

“It’s transformed our customer experience manager’s world. She can focus on tasks that actually matter more.”
Paul, Co-founder at Fold Reformer

What we run for you

The flows we build and run for your store.

Each flow runs inside limits you approve, and anything outside them goes to your team with the context attached.

Refund eligibility and refund status

Replacement requests

Reshipment decisions

Return and exchange guidance

Inventory and variant availability checks

Product recommendations

Human handoff when policy or risk requires judgment

The operating difference

Operated beats installed.

When the agent misses, that's our queue. It gets better because someone is responsible for making it better.

See what your ecommerce queue actually needs.

Send 100 recent support tickets. Adelante will classify what can be automated, what needs human judgment, and what ecommerce workflows are missing.

See where support can move beyond lookup into refunds, replacements, reships, inventory checks, and product guidance.

FAQ

What CX leads ask us about this.

Do we have to switch helpdesks?

No. Adelante works inside Zendesk, Gorgias or the helpdesk you already use, and every conversation and action is logged there.

What does my team still have to do?

Give direction. On the launch call you tell us which flows to automate and where the agent must stop. After launch you approve changes to the rules and take the handoffs. We do everything else.

How do you know it is really the customer?

Before it takes an action the agent verifies who is asking, with a one-time code or the customer's identity in your helpdesk. If anything about the request looks off, such as a fraud signal or a refund over your threshold, it goes to a person on your team with the conversation attached.

How long until it is live?

10 days from kickoff. Days 1 to 3 we map your flows and connect your systems. Days 4 to 7 we train the agent on your policies and test it on real tickets. Days 8 to 10 it goes live with monitoring.

What if we already turned Chatbase on?

Keep what works. Adelante runs inside your helpdesk and store. Send us the tickets your Chatbase agent still hands back to your team and that is where we start.

What does the 100-ticket benchmark include?

You send 100 recent tickets and we sort them by automation fit. Each one comes back marked as resolvable by AI, partly automatable, human-only, or blocked by a missing workflow or data source. That list is where the launch starts.