Amazon intelligence, made for your work

Know your brand.
Know your next move.

Bring sales, stock and advertising records into the conversation, with marketplace context where available. Explore useful features, inspect the evidence and decide what comes next.

Book a demo Find your fit

Brands: $297/month. Builders and Agencies have their own plans.

RrivetrocketIllustrative data
NevahOOS · Example finding

Order before the gap grows.

Sample SKU TRAIL-01 · US FBA · Illustrative figures

Stock cover18 days
Lead time30 days
Potential gap12 days
TodayStockoutArrival
Your next step

Confirm whether inbound stock can arrive before cover runs out.

Ask AI about this
Illustrative AI explanation

You have 18 days of stock and a 30-day lead time. With no earlier inbound arrival, the example has a 12-day gap. Check shipment timing first, then review the send-in quantity using your real lead time and target cover.

Prewritten example using the figures above. No live account or AI connection.

Illustrative · No live connection
Feature → evidence → AI Example only
Practical features. Connected intelligence.Choose your starting point ↓

Built for the way you work

For Brands

A connected AI Brand Manager for better brand decisions.

$297/month

Explore Brands For FBA Builders

Build your own Amazon data workflows with MCP and AI.

$97/month + usage

Explore FBA Builders For Agencies

Bring your expertise to unlimited client brands.

$497/month + usage

Explore Agencies

Understand the connections

Different records.
A better question.

Sales tell you what happened. Advertising and marketplace observations add context to investigate why. Confirm which records your account and MCP workflow can access on the demo.

Seller Central

Sales, stock and business reports

Account-authorized records. Check marketplace and report coverage.

Advertising

Campaign performance and spend

Connected advertising records for analysis. Your team edits campaigns.

Marketplace / search

Public listings and search observations

Collected marketplace data. Collection scope and frequency depend on your setup.
Rivet Rocket

Review findings in the features and AI conversation, or discuss data access through MCP for your own build.

Connection overview, not a promise of identical coverage in every feature. Public search observations are separate from SQPR’s completed weekly Amazon reports. A daily refresh does not make Amazon reports real-time.

Five connected capabilities

See the finding.
Explore the work.

Open a short example, then go deeper into the evidence and the next step.

Refund Logic

See what needs your action, review a prepared message and keep every case moving. Payment matching closes the loop.

Preview example : Refund Logic

Perfect Price

Review a small, rule-based test and the figures behind it. Decide whether to make the change, then ask AI to compare the results.

Preview example : Perfect Price

NevahOOS

Follow a SKU’s stock outlook, check your lead time and inbound dates, then review the send-in quantity.

Preview example : NevahOOS

SQPR

Compare your brand with the market, then open a flagged query and bring its context into Ask AI.

Preview example : SQPR

AI Brand Manager

Bring a feature finding into a conversation. Saved goals and source dates help turn the evidence into a useful next check.

Preview example : AI Brand Manager

Explore the workflow

Refund Logic

RRefund LogicIllustrative workflow
01Amazon reimbursement report
02Case board + prepared message
03You file and record replies
Ready to file
Filed
Follow-up needed
RETURN · $48You · Follow up14 days without a recorded reply
Approved
Resolved
LOST · Sample case$126.00SKU TRAIL-01Payment matchedSUCCESS

Five case stages · Scroll the board to explore

Case record · illustrative

Potential value: $126 · Actual recovered: $126

Recorded case ID: EXAMPLE-1042 · Matched on Amazon’s reimbursement report.

01 / Report → board

A positive reimbursement-report line becomes a Ready to file case. Amazon decides eligibility and the amount.

02 / Review the message

Open the case and review its prepared message. Copying it does not file anything.

03 / You file + record

Submit in Seller Central, then record the Amazon case ID. Record replies yourself; 14 days without a recorded reply triggers a follow-up.

04 / Payment matched

When Amazon posts a payment matching the recorded case ID, the case closes as won. The time between these steps varies.

Time compressed · Sample data

  1. A positive reimbursement-report line becomes a Ready to file case. Amazon decides eligibility and the amount.

  2. Open the case and review its prepared message. Copying it does not file anything.

  3. Submit in Seller Central, then record the Amazon case ID. Record replies yourself; 14 days without a recorded reply triggers a follow-up.

  4. When Amazon posts a payment matching the recorded case ID, the case closes as won. The time between these steps varies.

Illustrative interface and prewritten example. No live connection or account action.

US Seller Central · FBA Positive report lines become cases; this is not a warehouse or shipment audit. You file in Seller Central and record Amazon’s replies. Payment detection needs the exact case ID. Managed filing is a separate service.

Book a demoExplore Refund Logic ↗

Explore the workflow

Perfect Price

RPerfect PriceIllustrative workflow
0190-day sales, conversion + FBA stock
02Observed → interpretation → test
03You change the price
Current price$24.80
→
Suggested test$25.10
L30 units300
ConversionNot falling
EvidenceHigh
Ask AI · illustrative comparison

“Compare conversion and revenue per day for the 7-day test against the previous 14 days. Show the covered dates and any missing traffic data.”

01 / Review evidence

Read the sales, conversion and stock evidence, including the dates covered by the traffic report.

02 / Consider the test

The illustrative $24.80 → $25.10 test is a 1.2% increase. Review the reasoning and caveats.

03 / You change the price

If you agree, copy the test price and change it yourself in Seller Central. Copying changes nothing on Amazon.

04 / Compare with Ask AI

After a 7-day test, ask AI to compare conversion and revenue per day against the previous 14 days. This sample conversation is not a built-in tracking report.

Time compressed · Sample data

  1. Read the sales, conversion and stock evidence, including the dates covered by the traffic report.

  2. The illustrative $24.80 → $25.10 test is a 1.2% increase. Review the reasoning and caveats.

  3. If you agree, copy the test price and change it yourself in Seller Central. Copying changes nothing on Amazon.

  4. After a 7-day test, ask AI to compare conversion and revenue per day against the previous 14 days. This sample conversation is not a built-in tracking report.

Illustrative interface and prewritten example. No live connection or account action.

US marketplace Test steps never exceed 5%. Recommendations are rules, not demand predictions. Promotions, coupons, ad changes and competitor prices are caveats. Before/after comparisons use Ask AI; a built-in price-change timeline is not available.

Book a demoExplore Perfect Price ↗

Explore the workflow

NevahOOS

RNevahOOSIllustrative workflow
01Sales + FBA stock + dated inbound
02Forecast + your SKU assumptions
03You place orders and shipments
Cover18 days
Custom lead time30 days
Potential gap12 days
12-day gapTodayDay 18Day 30Day 54
━ No change┄ Recommended order▧ Out of stock
Suggested send-in · modeled720 units

30-day lead time + 60-day target cover · No earlier inbound

01 / Read stock cover

180 sellable units at a modeled 10 units/day gives 18 days of cover.

02 / Check lead time

A custom 30-day lead time leaves a potential 12-day stock gap if there is no earlier inbound arrival.

03 / Review the forecast

Check the solid baseline, dashed recommended-order projection and red stockout band. Review lead time, target cover and dated inbound in the SKU panel.

04 / Plan the send-in

With 30 days lead time, 60 target days of cover and no inbound, the modeled quantity is (30 + 60) × 10 − 180 = 720 units. Your team makes the order decision.

Time compressed · Sample data

  1. 180 sellable units at a modeled 10 units/day gives 18 days of cover.

  2. A custom 30-day lead time leaves a potential 12-day stock gap if there is no earlier inbound arrival.

  3. Check the solid baseline, dashed recommended-order projection and red stockout band. Review lead time, target cover and dated inbound in the SKU panel.

  4. With 30 days lead time, 60 target days of cover and no inbound, the modeled quantity is (30 + 60) × 10 − 180 = 720 units. Your team makes the order decision.

Illustrative interface and prewritten example. No live connection or account action.

US Seller Central · FBA This example uses recent average sales with no seasonality. Seasonal forecasts are used only after validation. Context notes do not change the math. NevahOOS never places orders or creates shipments.

Book a demoExplore NevahOOS ↗

Explore the workflow

SQPR

RSQPRIllustrative workflow
01Amazon Search Query Performance
02Brand / market funnel + keyword flags
03You review the listing or ads
Impressions8%Brand 8,000 / Market 100,000
Clicks6%Brand 600 / Market 10,000
Cart adds3%Brand 150 / Market 5,000
Purchases2%Brand 60 / Market 3,000
Conversion problem

insulated trail bottle
Purchase rate: your brand 10% · market 30%.

Illustrative completed week · Oct 5–11
01 / Read the funnel

Compare impressions, clicks, cart adds and purchases with market totals for the same completed week.

02 / Spot the share drop

In this example, brand share falls from 6% of clicks to 2% of purchases. Investigate what happens after the click.

03 / Open the query

“Insulated trail bottle” has a sample conversion problem label. Check the query’s weekly history and the market comparison.

04 / Ask AI with context

Continue from the flagged keyword. Review the listing, price and shopping experience before deciding to spend more on traffic.

Time compressed · Sample data

  1. Compare impressions, clicks, cart adds and purchases with market totals for the same completed week.

  2. In this example, brand share falls from 6% of clicks to 2% of purchases. Investigate what happens after the click.

  3. “Insulated trail bottle” has a sample conversion problem label. Check the query’s weekly history and the market comparison.

  4. Continue from the flagged keyword. Review the listing, price and shopping experience before deciding to spend more on traffic.

Illustrative interface and prewritten example. No live connection or account action.

Selected ASINs · completed weekly reports Reports cover completed past weeks and only ASINs selected for the report. A share drop prompts investigation; it does not prove a cause. No year-over-year comparison is available yet.

Book a demoExplore SQPR ↗

Explore the workflow

AI Brand Manager

RAI Brand ManagerIllustrative workflow
01Connected Amazon data + finding
02Saved goals + Chat / Skills / Context
03Answer with sources and date range
From NevahOOSGoal: protect availabilityRead-only
“What should we check before running this price test?”
Illustrative AI answer

Confirm the inbound arrival first. Your 18 days of stock cover is shorter than the 30-day lead time. With no earlier replenishment, the modeled gap is 12 days.

The price suggestion does not predict demand or solve the stock gap. Use the confirmed shipment timing to decide when to test.

Example sources: stock snapshot Oct 9 · sales Oct 1–7 · saved SKU assumptions
“What changes if the shipment arrives sooner?”
01 / Bring the finding

Ask AI from the NevahOOS stock finding: 18 days cover against a 30-day lead time.

02 / Apply saved context

Example saved goal: protect availability. The goal shapes the answer; it does not alter the inventory forecast math.

03 / Read the answer

The example answer identifies the 12-day gap and asks you to verify inbound arrival. Important figures still need checking.

04 / Continue the review

Ask a follow-up or run a ready-made restock check. Skill results land in Chat and include sources and date ranges.

Time compressed · Sample data

  1. Ask AI from the NevahOOS stock finding: 18 days cover against a 30-day lead time.

  2. Example saved goal: protect availability. The goal shapes the answer; it does not alter the inventory forecast math.

  3. The example answer identifies the 12-day gap and asks you to verify inbound arrival. Important figures still need checking.

  4. Ask a follow-up or run a ready-made restock check. Skill results land in Chat and include sources and date ranges.

Illustrative interface and prewritten example. No live connection or account action.

Read-only Seller Central + Advertising data Amazon data usually runs 2–4 days behind. Answers stay in the app. Your team makes account changes; scheduled skills and custom requests are reviewed and configured by Rivet Rocket.

Book a demoExplore AI Brand Manager ↗

Keep the work moving

Less rebuilding.
More reviewing.

A connected review keeps the finding, its evidence and your brand’s goal together. You still check the records and make the decision.

Separate reports

Reassemble the question.

  1. 01 / Collect

    Open Seller Central, advertising reports and marketplace observations.

  2. 02 / Combine

    Match products and dates across exports and spreadsheets.

  3. 03 / Repeat

    Rebuild the context when the next question comes up.

Connected review · illustrative

Continue with the context.

  1. 01 / Inspect evidence

    Stock snapshot Oct 9 · sales Oct 1–7 · 180 units / 10 per day.

  2. 02 / Ask with context

    “With 18 days cover and a 30-day lead time, what should we check?”

  3. 03 / Make the decision

    Confirm inbound arrival, assign an owner and review again. Your team acts.

Sample goal: protect availability. No earlier inbound assumed. Illustrative prewritten explanation; report dates may differ.

Sample data · No live connection

The features work together

From a finding
to your next move.

Follow one question across stock, pricing and AI. The evidence stays visible, and the decision stays with your team.

One seller decision · Illustrative US FBA example

Should we test the price before the next shipment arrives?

SKU TRAIL-01 · Saved goal: protect availability. Example sources: stock Oct 9 · sales Oct 1–7 · custom lead time. Amazon reports are delayed.

  1. A stock gap.

    18 days cover30 days lead time

    180 units ÷ 10 units/day. With no earlier inbound, a potential 12-day gap.

  2. A price idea.

    $24.80$25.10

    Illustrative +1.2% test. 300 units / 30 days, steady conversion. Review stock before choosing the timing.

  3. One connected question.

    “With this stock gap and our availability goal, what should we check first?”

    The stock finding carries into the conversation; saved brand goals shape the explanation.

  4. A decision you own.

    • Confirm sellable arrival
    • Agree test timing and owner
    • Review results if you test

    Your team’s decision note. Your team changes prices and places orders.

Illustrative sequence · All steps stay readable
See the contextual AI explanation
Illustrative output

Confirm the inbound arrival first. The 12-day gap assumes no earlier replenishment and steady sales. The price suggestion does not establish what will happen to demand or solve the stock gap. Use the confirmed shipment timing to decide whether to test now or wait; your team changes prices and places orders.

Prewritten example. No live data, AI call or account action.

Explore the five connected features ↗

Choose your way of working

One platform.
Three starting points.

Choose the offer that fits your work. Start with a demo to confirm your setup, scope and usage.

Brands

$297/month

A connected AI Brand Manager for better brand decisions.

  • Connected AI Brand Manager with saved brand context
  • Tool findings and Amazon records in the same review
  • Help connecting your account and starting your first review

Confirm account coverage, included usage and any separate services on your demo.

Book a demo

FBA Builders

$97/month + usage

Build your own Amazon data workflows with MCP and AI.

  • Specialist DIY workflows with MCP and your own AI
  • Metered AI and scraping
  • Build and run your own approach

AI and scraping are metered separately. External AI providers may also charge for your own tools. Confirm rates and supported access on the demo.

Book a demo

Agencies

$497/month + usage

Bring your expertise to unlimited client brands.

  • Unlimited client brands
  • Client context, custom reviews and team conversations
  • Set your own client pricing for access and usage

Unlimited client brands; usage is billed separately. Set your own client pricing for access and usage. Confirm billing arrangements, support and usage rates on the demo.

Book a demo

Monthly prices in USD. Usage charges apply where shown.

Start with a useful conversation

Your work.
Your recommended setup.

Tell us what you manage or want to build. We’ll walk through the relevant features and confirm the right offer.

  1. 01

    Book your demo

    Choose Brands, FBA Builders or Agencies. Bring the question or workflow you want to improve.

  2. 02

    Confirm your setup

    Review account coverage, data access, usage rates where applicable and your next steps.

  3. 03

    Get started together

    For connected brand accounts, our team helps with the connection and first review. The initial data load usually takes about a day.

Questions, answered

Before your demo.

The offers, the data and what to expect.

Who is Rivet Rocket for?

Brands making decisions about their account, FBA Builders working with Amazon data and agencies serving client brands. Each has an offer built around its work.

What does the AI brand manager do?

It answers questions using your connected Amazon data, runs ready-made analyses and uses your saved brand goals and context. Stock planning, price tests, search performance and reimbursement workflows help you investigate further.

How much does it cost?

Brands: $297/month. FBA Builders: $97/month + usage. Agencies: $497/month + usage. Confirm account scope, usage rates where applicable and any separate services on your demo.

Does it manage my PPC campaigns?

It can analyze advertising performance and help explain what needs attention. It does not change bids, budgets or campaigns. Your advertising team stays responsible for execution.

Is it watching live data around the clock?

You can ask questions whenever you need to. Amazon data usually runs 2–4 days behind, and search reports arrive weekly. The team can set up scheduled analyses; discuss your review rhythm on the demo.

Can it change prices or order stock?

No. The AI reads your data. You decide which price tests to run and which orders or shipments to place. Managed reimbursement filing is a separate service.

How do we get started?

After the demo and your recommended setup, our team helps connect your Amazon account and set up your first review. The initial data load usually takes about a day. Data refreshes daily at 9:00 am Pacific; Amazon reports usually run a few days behind, and search data arrives weekly.

Are the examples real customer results?

The website uses illustrative examples. On the demo, we show how the workflow applies to your business and confirm the data and features your account can use.

Start with your work

Find your next
useful move.

Show us what you manage or want to build. We’ll walk through the features, confirm your setup and give you clear next steps.

Book a demo No account connection needed for the call.