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.
For brand managers and agencies
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
What needs my attention this week?
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.
“How many units should I send in?”
| Case | State | Next step |
|---|---|---|
| RR-1042 | Ready to file | File in Seller Central |
| RR-2086 | Follow-up due | Check the response |
| RR-3191 | Payment matched | Review the match |
Your team files in Seller Central and records the case ID and responses. Refund Logic flags a 14-day follow-up and matches payment records. It does not audit shipments or file cases automatically.
Review the recommendation and supporting data before choosing your next test.
Your shipment plan depends on when the next units can reach Amazon.
People see us. Why aren’t they buying?
Compare your share of clicks, cart adds and purchases with the market. Review the listing and price before deciding where to spend.
Ask AI about the finding and choose your next check.
Inside AI Brand Manager
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 dataFollow the four steps or replay the animation. The interface is simplified and all figures are illustrative; no live account is connected.
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.
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 assumptionsAsk AI from the NevahOOS stock finding: 18 days cover against a 30-day lead time.
Example saved goal: protect availability. The goal shapes the answer; it does not alter the inventory forecast math.
The example answer identifies the 12-day gap and asks you to verify inbound arrival. Important figures still need checking.
Ask a follow-up or run a ready-made restock check. Skill results land in Chat and include sources and date ranges.
Ask AI from the NevahOOS stock finding: 18 days cover against a 30-day lead time.
Example saved goal: protect availability. The goal shapes the answer; it does not alter the inventory forecast math.
The example answer identifies the 12-day gap and asks you to verify inbound arrival. Important figures still need checking.
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
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.
Example Context goal: protect availability. Brand summary, goals, constraints and key ASINs shape answers. They do not change the inventory forecasting math.
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.
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
Ask about sales, stock, pricing and advertising performance in one conversation. Answers cite their sources and date ranges.
Run ready-made analyses for weekly business reviews, restock checks and advertising audits. Request a custom analysis around your team’s recurring questions.
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
The demo showed brand questions and custom skills. Give the assistant a clear scope and ask for the records behind its explanation.
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.
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.
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.
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
Work inside the relevant brand account and its connected data.
Start with the change or business problem you want to understand.
Ask follow ups, check the evidence and choose the next action.
Questions, answered
A few things worth knowing about the tools and the next step.
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.
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.
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.
The thinking behind the tool
Build a useful tool stack around three jobs: understand profit, control campaigns, and explain decisions.
Read the guideConnect campaign findings to product economics and leave with a prioritized change list.
Read the guideConnect advertising, sales and stock evidence. Investigate the finding, record a decision and check what happened next.
Read the guideConnect the question to the right records, keep dates visible and decide what the evidence actually supports.
Read the guideStart with your work
Show us what you manage or want to build. We’ll walk through the features, confirm your setup and give you clear next steps.