Lumnya does the part everyone else leaves to you.
Every tool in your stack stops one step short of the finish line. This page is about that step.
Chatbots deflect. Dashboards report. Assistants suggest. Every one of them leaves the last mile — the doing — to you. Lumnya is built for the last mile.
vs. support chatbots
Chatbots deflect. Lumnya resolves.
A deflection bot's job is to keep the customer away from you. Lumnya's job is to finish the ticket: it finds the order, checks your policy, starts the return, and escalates only when a human genuinely should step in.
A support chatbot
“I didn't quite understand that. Could you rephrase?”
“Here's a link to our FAQ page.”
Ticket deflected — the customer is still stuck.
the ticket is now your job
Lumnya — Customer AI
Finds order #1043, checks the return window
Starts the RMA and emails the label
Escalates to you exactly when it should
resolved · logged · on-brand
vs. analytics dashboards
Dashboards report. Lumnya acts on it.
A dashboard hands you a red arrow and wishes you luck. Lumnya traces the drop to its cause, proposes the exact fix, and — with your approval — applies it. The gap between “knowing” and “done” disappears.
An analytics dashboard
⚠ Revenue down 12% this week
A red arrow. A chart. Ten filters.
The “why” — and the fix — are your homework.
insight without action
Lumnya — your manager
Traces the drop to Tuesday's discount code
Proposes ending the code + a price correction
You approve — it's done and logged
diagnosis → action, same breath
vs. AI assistants that suggest
A suggestion you must execute is still your work.
Most “AI copilots” produce a confident to-do list. Lumnya executes the list — confirm-gated — and then measures what the change actually did, so the next recommendation starts from your store's real numbers, not from zero.
An AI assistant
“You should re-price these 3 products.”
“You should email these at-risk customers.”
A to-do list, delivered with confidence.
suggestions are still your work
Lumnya — the workforce
Re-prices the 3 products — after your yes
Sends the emails — drafted, previewed, approved
Remembers why, for the next call
executed · confirm-gated · remembered
vs. hiring more people
Headcount is linear. Lumnya compounds.
Great operators are worth every euro — when you can find them, train them, and keep them. Lumnya works the same afternoon you install it, covers every page at 3 a.m., and its knowledge of your store never resigns.
Another hire
3–6 weeks to source, weeks more to train
8 hours a day, one conversation at a time
The knowledge walks out when they do.
linear cost, linear coverage
Lumnya — day one
Working the afternoon you install it
24/7, every page, every store
Knowledge compounds — and stays yours
instant scale, no overhead
The wedge
The gap between knowing and done is where your day goes.
Lumnya closes it — with your yes on everything that matters.
The combination
Memory. Action. Audit. Most tools have one.
Any tool can claim one of these. The product is what happens when all three work together.
Memory
It knows your store and gets sharper weekly — no re-explaining, no amnesia. Without it, every answer starts from zero.
Action
It changes prices, refunds orders, sends emails — inside your store, for real. Without it, you're the execution layer.
Audit
Every action logged with its reasoning. Without it, you could never safely grant the first two.
What Lumnya is not
Honesty over hype.
Three things we refuse to pretend — because trust is the product.
Side by side
The category, compared.
| Lumnya | Support chatbots | Analytics tools | Assistant add-ons | |
|---|---|---|---|---|
| Sells and resolves — doesn't deflect | ||||
| Takes real action in your store | ||||
| Remembers your store | ||||
| Explains every action (audit trail) | ||||
| Back-office analysis | ||||
| Front of house + back office |
Columns are categories, not named competitors.
Private beta
See the difference on your own store.
Join the private beta and be first in line when Lumnya opens to your store.