Inventory, repricing, P&L, reimbursements, shipments, and research — with Zeno, your AI operations co-pilot, working alongside you.
The platform
Explore sales, profit, inventory, products, and team activity in the dedicated Analytics workspace — with period comparisons and SKU-level drill-downs.
Zeroth's repricer is a closed machine-learning loop with one goal: profit. Every price it sets is scored against what it actually earned once Amazon settled the order, after fees, refunds, and returns, and the model retrains on the result. It doesn't chase the Buy Box. It looks for the price that pays you the most.
Under the hood
A "game theory" repricer models pricing as a contest, assumes how your rivals will play it, and prices for the assumption. That's a strategy, not learning. Zeroth sets a price, measures what that price really earned once Amazon settled the money, and retrains on the answer. Every cycle, it gets a little harder to fool.
Market, Buy Box, inventory, and fees for every listing.
Demand, returns, and competitor responses at each candidate price.
The candidate with the best expected profit inside your limits.
What that price really earned, from Amazon's settlement data.
The model updates, and the next decision starts from better evidence.
Until the model has enough evidence on a listing, a deterministic strategy prices it. Learned pricing takes over only where the evidence supports it, and steps back if it stops performing.
Minimum and maximum prices, margin floors, and per-listing switches bound every decision, including the experiments the model runs to learn.
Zeroth confirms Amazon accepted each price and retries safely if it didn't. Matching the Buy Box price is never counted as winning it.
Ask any repricer two questions: what is it optimizing, and what did it learn from last week's prices?
Forecasts built from six sales windows and corrected for the days you were out of stock, with supplier lead times and inbound units factored in. Then Zeroth checks margin, ROI, and competition before it tells you to buy.
Smarter restocking
When a SKU runs out, its sales drop to zero, and most restock math reads that as falling demand. You reorder less and run out again. Zeroth measures velocity only across the days you were actually in stock, blends six sales windows from 2 to 180 days, and adds supplier lead time and inbound units before it suggests a quantity.
Demand, margin, ROI, Buy Box share, and competition all clear your thresholds.
Something needs a person: a thin margin, stale competition data, or a low-confidence price.
Unprofitable at today's price, or too crowded to win enough of the sales.
Approve the buys and turn them into purchase orders for each supplier, without leaving Zeroth.
Build shipments from your purchase orders or inventory, pack and label them in a guided workflow, and see exactly what Amazon received, unit by unit and dollar by dollar.
2D box barcodes
Every FBA carton needs box content information. Typing it into Seller Central is slow and easy to get wrong, and leaving it out can mean manual processing fees and a slower check-in. A 2D box barcode carries the contents with the box: one scan at the dock and Amazon has every FNSKU and quantity inside.
Meet Zeno
Zeno lives in every corner of the app — surfacing the insights that matter and answering questions about your business in plain English, so you can make faster, sharper decisions.
Ask it to draft purchase orders, map products to suppliers, or fill in missing product costs from your inventory. Zeno prepares the changes and you approve them, at your desk or on your phone. Building shipments is next.
One platform, one price
Pick your monthly sales to compare Zeroth with the plans other tools charge at that size.
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