Preboot for customer support
“Where is my order.” “Are you open at ten.” “Can I move my appointment.” Different people, the same few questions, in the worst hour. Preboot answers them from the live record; your team gets the half that needs a person — thread attached.
Sound familiar?
My team is drowning, and most of it is the same question.
Where is it, are you open, how much — all day, each one costing a person minutes.
I find out we upset someone when I read it in public.
It sat a week. By the time anyone saw it again, it had a star rating.
Half our customers live in someone’s personal WhatsApp.
When that person leaves, the history leaves too — you couldn’t say who said what to whom.
None of that is a staffing problem. It's a context problem — and it's the one we built the company around.
The half you should not be answering
Most of your inbox is not a conversation. It is a handful of questions — and every answer is already in your system.
The AI answers with the real status, not “let me check.” The inbox’s biggest single question stops reaching a person.
Live tracking from your store and couriers, read inside the chat — nobody asks twice.
Answers only what it can verify — never invents a delivery date.
At peak, the AI takes the whole order — the regular’s usual and their allergies. Nothing rings out, nothing taken twice.
WhatsApp, Instagram and Messenger in one queue — one named owner per conversation.
The menu bot offers the side that fits — average ticket designed to rise 8–15%.
Price, prep, parking, opening hours, “can I move it to Thursday” — all answered before they reach the desk.
First reply goes from hold music to seconds, the customer’s history already read.
Six channels, one queue, explicit ownership — nothing is missed, and nothing is answered twice.
Loop, watching the inbox
A complaint arrives mid-rush, gets an “I’ll come back to this,” and vanishes. Loop brings it back — fix drafted.
An unpaid balance, a quote nobody chased, last week’s complaint — surfaced by name, however deep into the season you are.
The Monday follow-up sweep runs in the crush too — scheduled work that cannot lapse.
Each item carries the customer, the thread, the promise — a minute, not an investigation.
Replies slipping for a month, recalls quietly lapsing, a referrer who stopped sending anyone — raised unprompted.
Every alert lands as a decision: what happened, why, the risk, the drafted fix.
Approve it or hold it — no investigation to find out whether it was real.
Feedback is asked in the thread, minutes after the visit — an unhappy answer reaches a human while still private.
A complaint theme rising at one branch is flagged the week it starts.
Every reply is mined for the dish, the wait, the server — not a sample.
Off the phones, onto the record
Some of your best customer relationships live on a personal handset. When they leave, so does any record of who handled what.
Six channels, one governed inbox — roles, permissions, a full audit trail. The record survives a resignation or a lost handset.
Ownership is explicit per conversation, so the record stays intact when the team changes.
Every session leaves a summary, every handover its reason — the customer never starts again.
Reply time, resolution, handling quality, rebooks — per person, from conversations they actually handled. Reviews stop being arguments about impressions.
Targets and incentives designed from actual behaviour, not gut feel — read as fair.
Who handled what is on the record, so accountability survives “that wasn’t me.”
The question nobody owns
There is always a question your inbox cannot answer. Four people guess four ways. Loop takes it to whoever knows.
A visa rule, a policy, a price nobody wrote down — surfaced from the whole inbox, with counts, ranked by cost.
A question asked separately by many shows up as one problem with a number.
Ranked by conversations touched — the one you fix first is the one costing you.
A missing price, a rule one person knows — Loop asks them, returns the answer for your approval. Closed for good.
Repeated “I don’t know” moments are spotted before customers quietly stop asking.
Nothing joins your answer of record until you approve it — Loop proposes, never decides.
Before & after
Four more moments from the map — run by hand, and run on Preboot.
High season
Hire temporary staff, or watch reply times slip
Absorbed by the same team — first reply in seconds through peak week, people kept for the complicated ones
The weekly ops review
Happens when somebody remembers
No-shows, recalls, utilisation and response times reviewed every Monday — double-booked and orphaned slots caught the same week
Groups and multi-person bookings
One coordinator, a group chat, a spreadsheet of payments
Per-group journeys run documents, payments and updates, and name stragglers — one coordinator designed to carry 2–3× the groups
Targets for a seasonal team
Set on gut feel in January, meaningless by July
Quote speed, conversion and handling quality per person — targets designed from real behaviour that survive high season
"Published averages" are industry benchmarks from public studies, not Preboot results. Your own numbers will live on your dashboard — that's rather the point.
In your industry
Every line above is industry-neutral on purpose. Here is what it turns into where you work.
We’ll answer it from your own live data — the real order, the real slot, the real price. Message us on WhatsApp; our own number runs on Preboot.