Viktor is the AI employee your team messages in Slack or Microsoft Teams. Connect DataDoe and he works from every Amazon account you run: Seller Central, Vendor Central and Amazon Ads, joined with your costs, across all Amazon marketplaces.
@Viktor weekly brief please: profit by marketplace, Seller and Vendor, and any keyword above break-even.
Last week after fees, ads and product costs:
datadoe · amazon_profit_by_sku_and_date✓“bamboo cutting board” ran at 58% ACoS against a 34% break-even. Lower its bid from $1.20 to $1.02?
✓ Bid updated through DataDoe at 8:09 AM, logged
DataDoe joins every Amazon account into one schema. Viktor works from it and delivers the result in the channel where your team already talks.
orders · fees · stockPOs · Retail AnalyticsSP · SB · SDCOGS per SKUAsk once in the channel where the work belongs. When the first result is right, ask Viktor to save it as a skill and schedule it. Pick a job to copy the message that sets it up.
Message that sets it up#amazon-weekly
@Viktor every Monday at 8:00, post last week’s profit by marketplace and brand after fees, ads and product costs, split Seller and Vendor. Attach it as a PDF and list the three biggest changes since the week before.
Message that sets it up#ops
@Viktor every morning, check FBA stock against the last 30 days of sales and the inbound shipments. List each SKU that runs out before its shipment arrives, the day it runs out and the sales at risk.
Message that sets it up#vendor
@Viktor every weekday, summarise new Vendor Central purchase orders. Compare the quantities with the last four weeks of orders and with sell-through in Retail Analytics, and flag anything that looks like a cut.
Message that sets it up#ppc
@Viktor twice a day, find keywords spending above their break-even ACoS, worked out from the real margin per SKU. Propose a bid cut for each one and wait for approval before changing anything.
Message that sets it up#listings
@Viktor every day at 10:00, check for suppressed or blocked listings. Draft the fix against Amazon’s product type rules, run it as a dry run and ask in the thread before submitting.
In Viktor, each tool runs automatically, asks for confirmation, or is off. In DataDoe, each Action type stays off until you switch it on. A change needs both.
| What Viktor wants to do | Suggested level in Viktor | DataDoe Action type, off until you switch it on |
|---|---|---|
| Read sales, stock, ads and Vendor data | Run automatically | read tools · no Action |
| Change a keyword or target bid | Ask for confirmation | AMAZON_ADS_TARGETS_UPDATE |
| Change a campaign budget | Ask for confirmation | AMAZON_ADS_CAMPAIGNS_UPDATE |
| Change a price | Ask for confirmation | AMAZON_LISTINGS_PRICING_UPDATE |
| Edit listing content | Ask for confirmation | AMAZON_LISTINGS_UPDATE |
| Acknowledge a Vendor purchase order | Off | AMAZON_VENDOR_PURCHASE_ORDERS_ACKNOWLEDGE |
Viktor is hired once for the whole workspace, with no per-seat price. Give each client channel its own DataDoe connection, and the brief in that channel only ever covers that client.
datadoe: northfield · seller US, CARead onlydatadoe: kiro · seller DE, FR, ITRead and writedatadoe: atlas · vendor USRead onlydatadoe: all clients · adsRead and writeDataDoe and Viktor work together, and DataDoe is in Viktor’s integration catalogue. Once it is added, everyone with access just talks to Viktor.
14 days free. One DataDoe organization holds every Amazon account you run.
Start free trialConnect Seller Central, Vendor Central and Amazon Ads on Amazon’s own consent pages. Add product costs for profit.
Authorize in DataDoeOpen Integrations, pick DataDoe from the catalogue and sign in. Choose who can use it and set the tool levels.
Mention @Viktor where the Amazon work happens. It works in Slack, Microsoft Teams, Discord and the web app.
Viktor is an AI employee made by Zeta AI, and a DataDoe partner. Your team talks to him in Slack, Microsoft Teams, Discord or a web app, and he works across the tools you connect: he pulls data, builds reports, spreadsheets and small apps, runs jobs on a schedule and asks before sensitive actions. One Viktor serves the whole workspace.
Viktor brings the work: briefs, reports, files, schedules and approvals in your channels. DataDoe brings the Amazon side: Seller Central, Vendor Central and Amazon Ads in one schema, every Amazon marketplace, profit after your product costs and stored history to compare against.
DataDoe is in Viktor's integration catalogue. Open Integrations in Viktor, add DataDoe and sign in with your DataDoe account in the browser. Then name the connection, choose who in the workspace can use it and set the tool levels.
Only when two things allow it. In Viktor, the tool has to be set to run automatically or to ask for confirmation, and we suggest asking. In DataDoe, that kind of Action has to be switched on, and the Amazon account has to be set to read and write. Every Action can be run as a dry run first and is logged.
You decide per connection. When you add DataDoe, its access can be everyone in the workspace or invite-only. Agencies can add one connection per client and keep each to the people and channels that work on that client.
Yes. Through DataDoe, Viktor reads Vendor Central Retail Analytics, purchase orders and sales next to your Seller Central and Amazon Ads data, so one brief can cover the whole Amazon business. Vendor Central in DataDoe.
DataDoe is $97 a month after a 14-day free trial, with every Amazon account included. Viktor is billed separately by Zeta AI in shared credits for the whole workspace; it starts free, and its plans are on viktor.com/pricing.
We'll connect DataDoe on your own accounts and help you write the first jobs and approval rules.
Book a demoConnect Seller Central, Vendor Central and Amazon Ads once. Your team keeps asking in Slack or Teams, and Viktor answers from all of it.
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