← How Rivet Rocket helps

For brand managers and agencies

Your Amazon brand.
A manager on call.

An AI brand manager connected to your Amazon sales, advertising and inventory data. Ask a question, run a weekly review and get an answer with sources and dates. Your saved goals and priorities shape every answer. Open Ask AI from a finding to continue with that context already in place.

AI brand manager · Rivet Rocket

RrivetrocketIllustrative data
A conversation with context

Your AI brand manager

Example exchange

What needs my attention this week?

R
Restock your top seller first.

Your top seller has 18 days of stock against a 30-day lead time. Without inbound stock, that leaves a 12-day gap. Confirm whether incoming stock can arrive in time. Make that check before running a price test.

Stock: example snapshotLead time: brand assumption
↗
Ask the follow up question

“How many units should I send in?”

Inside AI Brand Manager

The finding comes with you.

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

Read-only Seller Central + Advertising data

Follow the four steps or replay the animation. The interface is simplified and all figures are illustrative; no live account is connected.

Coverage and boundaries

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.

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 the example in detail

01 / Evidence and handoff

The finding

Ask AI opens from the inventory view with the finding in context. This sample has 18 days stock cover and a custom 30-day lead time; no earlier inbound is assumed.

02 / Evidence and handoff

The saved goal

Example Context goal: protect availability. Brand summary, goals, constraints and key ASINs shape answers. They do not change the inventory forecasting math.

03 / Evidence and handoff

The source check

Example source records: stock snapshot Oct 9, sales Oct 1–7 and saved SKU assumptions. Answers cite sources and date ranges. Amazon data usually runs 2–4 days behind; important numbers still need checking.

04 / Evidence and handoff

The next conversation

Continue with a question about an earlier shipment or run a ready-made restock check. Results appear in Chat under Skill runs. Rivet Rocket reviews custom skill requests and configures scheduled runs. The brand manager remains read-only.

A more useful view

01

Understand what changed

Ask about sales, stock, pricing and advertising performance in one conversation. Answers cite their sources and date ranges.

02

Make each review count

Run ready-made analyses for weekly business reviews, restock checks and advertising audits. Request a custom analysis around your team’s recurring questions.

03

Keep your brand in context

Save your goals, constraints and key products so answers fit your business. Open Ask AI from another workflow and it carries the finding into your chat. Your team approves and makes account changes.

From the finding to a decision

Ask a question you can verify.

The demo showed brand questions and custom skills. Give the assistant a clear scope and ask for the records behind its explanation.

Specify the brand and period

For example: “For Brand A in the US, compare the last two complete weeks. Separate changes in units, average price and product mix. Name the reports and dates used.” This is a suggested prompt, not a captured product answer.

Request evidence and unknowns

Ask which records support each observation, what is missing and what your team should check next. Verify the figures against the underlying exports before changing an account setting.

Define the recurring question

A useful brief includes the brand, marketplace, reporting period, question, recipient, review time and action owner. Download the review template (CSV). Confirm scheduling and delivery options with the team.

Confirm context and access

Ask which datasets are connected, when they update, which context persists between sessions, who can read a brand’s history and how saved context can be removed. Brand context saves in the app and applies to answers. Chats can be private or shared with your brand team; Rivet Rocket staff can review private chats for quality. Scheduled analyses are set up by the Rivet Rocket team. Answers stay in the app; Slack delivery is not available.

The website preview illustrates a conversation. A current walkthrough should show an actual answer and its source records for your use case.

How it works

A question.
A useful next step.

  1. 01

    Choose the brand

    Work inside the relevant brand account and its connected data.

  2. 02

    Ask a question

    Start with the change or business problem you want to understand.

  3. 03

    Explore the reasoning

    Ask follow ups, check the evidence and choose the next action.

Questions, answered

The details matter.

A few things worth knowing about the tools and the next step.

Can I rely on every AI answer?

Check important figures against the cited records. Amazon data usually runs 2–4 days behind. The AI reads your account data and never changes prices, places orders or edits campaigns.

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.

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.