Sylo mark
SYLO
AI. AMAZON. GROWTH.

Built for you once. Owned by you forever.

A team of Amazon specialists that happens to be software. It reads your account every night, finds what is broken or worth doing, and shows you the evidence before it changes a thing.

Stop renting your Amazon expertise. Own it.
sylostack.ai 10 slides · 5 minutes to move
01 The problem

What you are really paying for

Every Amazon brand of a certain size runs into the same three things. None of them is about whether the work gets done well.

The retainer treadmill

The expertise walks out the door

Years of someone learning your catalog, your seasonality, your margins and every mistake worth not repeating. The day the contract ends, all of it leaves with them and the next team starts from zero.

Your data, their systems

The history is not yours to keep

Your sales, advertising and customer history sits inside tools someone else controls. Cancel the subscription and the record of what you did, and why, goes dark with it.

The AI shift

The repeatable work is now automatable

A large share of expert-level Amazon work is work software can genuinely do. The brands that win the next few years will own that capability rather than rent it by the month.

The work is not the problem. Where the knowledge ends up is.

02 What it is

A specialist team that works your account every night

Not a chatbot you have to remember to ask. A set of specialists, each owning one part of your account, each working it overnight whether anyone asks or not.

01 · IT READS

Your own numbers, nightly

It connects to your Seller Central and Advertising accounts and reads the whole account, every night.

02 · IT FINDS

What is wrong, and what it costs

Each specialist names the problem, the money attached to it, and the one next action that clears it.

03 · YOU APPROVE

Nothing happens without your yes

Every change arrives with the numbers behind it, the result it expects, and how to undo it. You approve, or you don't.

04 · IT CHECKS ITSELF

Then it marks its own homework

Every change it makes gets checked afterwards: did it land on Amazon, and did the result hold up two weeks later?

03 What it looks like for you

Live in about three weeks

We guide the setup and validate everything against numbers you already trust.

WEEK 1 WEEK 2 WEEK 3 ONGOING CONNECT your keys, your account Approve Amazon access BUILD the instance is yours Stand up dashboard, warehouse, logins TUNE validated against your numbers Tune to your goals LAUNCH your team runs it Train the team, go live, Sylo stays on THEN, EVERY NIGHT for as long as you own it sweeps nightly sweeps · monthly review · knowledge updates · senior counsel
Three weeks from access to live. Your side of the line is approving Amazon access, then showing up for training.

Two commercial pieces, and they do different jobs

A one-time build and onboarding fee covers the instance, the warehouse, the tuning, validation and team training. You own the result. A monthly advisory subscription keeps the specialists’ Amazon knowledge current and keeps senior counsel on the account.

04 The team

Nine specialists, one account

Each owns one lane and a short, specific list of changes it is allowed to propose, not a free hand on your account.

Sylo

The front door

Takes your question, routes it to whoever owns the answer, writes the overnight debrief.

Nova

PPC & advertising

Campaigns, bids, budgets, search terms, placements, and the spend buying nothing.

Lexi

Listings & SEO

Keywords, titles, bullets, backend terms, indexing and organic rank.

Marlow

Inventory & supply

Restock timing and sizing, days of cover, and both stockout and overstock risk.

Rhodes

Ops & account health

Suppressed listings, fee disputes, Buy Box loss, and the support cases nobody wants to draft.

Watchtower

Monitoring

Round-the-clock alarms on spend, stock and Buy Box. Raises the flag, fixes nothing itself.

Maeve

Creative & A+

Main image click-through, gallery order, A+ and Brand Story, video, image compliance.

Echo

Reviews & customers

Rating trends, review velocity, and what buyers keep complaining about and praising.

Iris

Strategy & P&L

What each product really earns after ads and fees. Hero, filler, or dead weight.

One account, not seven tools. Ad spend that looks wasteful is often an inventory problem: the campaign is still bidding hard on a product about to run out. Because every specialist reads the same numbers on the same night, the handoff between them happens on evidence, not on somebody remembering to send an email.

05 How a change gets made

Seven steps, every time

Nothing goes from “we noticed something” to “we changed your account” in one hop. Every change walks the same seven steps and can be stopped at any of them.

01 NOTICE read the account 02 DIAGNOSE name the cause 03 PROPOSE write it up 04 SAFETY CHECK six checks 05 DO on your approval 06 VERIFY did it work? 07 LEARN keep the result any check fails REFUSED with the reason recorded what worked becomes this brand’s memory
Step 4 is the one that makes the rest safe. A change that fails any of its six checks stops there and the reason is written down, so a refusal is something you can read later rather than something that quietly vanished.
06 Safety

You stay in control of your own account

This is the part every brand asks about first, so here it is plainly. The safety rules are not instructions we give the AI. They are ordinary code that runs after the AI has finished, so no clever answer can talk its way past them.

01

Nothing moves without your yes

Every change waits for a person by default, and arrives with its evidence and how to undo it. Six safety checks run before it can even reach you.

02

Hard limits it cannot argue past

Bids capped at 50%, 20 changes a day, price moves capped at 10%, and no price move at all without your cost of goods. One switch turns every change off.

03

It never makes a number up

Every figure is calculated by ordinary code reading your account, not by the AI. And “I couldn’t check this” is a real answer it is allowed to give.

04

More rope has to be earned

You can let a specialist handle one kind of change on its own, but only after its record proves it: 10 graded results, 85% accuracy, under 10% undone. Re-tested every night.

And these always wait for a person, whatever the record says. Each one is filed with Amazon in your name, or creates something somebody has to unwind by hand:

Amazon support cases reimbursement claims inbound shipments review requests

New campaigns are the one exception worth naming: they are always created paused, so the worst an unattended one can do is sit there spending nothing.

07 A real example

“You need to ship now to cover Prime Day”

What it actually looks like when a specialist finds something. The ship-by date is arithmetic, not a hunch.

the stock you have now your lead time TODAY SHIP BY stock now, minus lead time CHECKED IN at Amazon PRIME DAY the event
Marlow posts this the morning it becomes true, not the week it becomes urgent. The stock it counts is what you can actually sell: on hand, plus what is in transfer, plus what is still being processed at the warehouse.
ship by  = today + (days of stock you haveyour lead time)
how many = how fast it sells × (lead time + your target cover) + safety stock → rounded to whole cases

Your numbers, not our defaults. Your lead time, target cover, safety stock and case sizes are settings on your profile. And two things watch it. Marlow works it forward so you hear about it early; Watchtower trips an alarm the moment stock crosses your threshold.

08 The difference

What you actually walk away with

Every agency learns your business. The problem has never been that they do not learn. It is that the learning lives in their people. Here it builds up inside your instance, as a record you can read.

It is the difference between “a competent Amazon specialist” and “a specialist who knows this SKU’s Q4 spike starts in week 42, that this term converts despite looking wasteful, and that we already tried the obvious fix in March and it didn’t work.”

You host your data

The warehouse, the keys and the history sit on your side, under your control and your billing.

You keep it if you leave

Cancel and it all stays with you: every change made, every reason, every outcome. Nothing goes dark.

The learning compounds

What worked and what didn’t is written down monthly and read back by the specialists, so it stops re-proposing what you already refused.

Your team gets more capable

The goal is self-sufficiency: your people running an expert-grade operation, not a dependency that deepens every year.

09 The ask

Stop renting. Start owning.

Amazon expertise you pay for monthly leaves when the invoice stops. Amazon expertise built into your own instance does not.

Next step 01

A read of your account

We connect read-only and show you what the first night actually finds on your catalog, with your numbers. Nothing is changed.

Next step 02

Agree the guardrails

We set the limits and the approval rules to your account before a single change is enabled.

Next step 03

Three weeks to live

Connect, build, tune, launch, then your team runs it and the record starts building in your instance.

sylostack.ai

Figures on these slides are the product’s own configurable defaults and definitions, not customer results. Every safety limit is tuned to your account during setup. Sylo writes to Amazon through the official Selling Partner and Advertising APIs only.

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