T. Brian Jones

AI vs traditional inventory management: where machine learning wins, where spreadsheets and statistics still hold up, and how to choose.

Practical ChatGPT prompts for Amazon FBA sellers: listings, keyword research, reviews, PPC, and ops, plus how to keep answers accurate.

How to rank in ChatGPT and get cited by AI search: rank in Bing, let AI crawlers in, write answer-first, and earn mentions. Honest tactics.

AI demand forecasting uses machine learning to predict sales, but the gains depend on your data. What the research shows works for sellers, and when.

Amazon FBA automation means tools that handle repetitive tasks, not a done-for-you store. What is safe to automate, what is a scam, what needs you.

Conversational analytics lets you ask your Amazon business questions in plain language. How it works for FBA, and where it helps most.

An AI agent for ecommerce can research, draft, and take single actions under supervision. What agents reliably do in 2026, and where they fail.

An AI employee for your FBA business is a supervised assistant that drafts and flags work, not an autonomous hire. What it does, and what needs you.

PPC inventory planning: align Amazon ad spend with your days of cover so you never pay to accelerate demand into a stockout you cannot restock from.

AI inventory management uses machine learning and AI assistants to forecast demand and flag reorders. What is real in 2026, and how to use it.

The FBA inventory statistics that move your business are your own: turnover, sell-through, IPI, stockouts, returns. What each tells you and how to read it.

MCP (Model Context Protocol) lets an AI assistant securely query your Amazon business data. What MCP is, how it works, and what it means for FBA.

Answer engine optimization (AEO) structures content so AI engines cite it. Core tactics, the 2026 schema reality, and how to measure it.

Generative engine optimization (GEO) gets your content cited by AI answer engines. Proven tactics from the research, and how to measure them.

Amazon Rufus is Amazon's generative AI shopping assistant, now part of Alexa for Shopping. How it works, how it surfaces products, and what sellers do.

TikTok Shop adds a channel where demand can spike overnight. How to manage its inventory, sync it with your Amazon stock, and plan for viral volatility.

Inventory turnover benchmarks vary widely by category. Rough ranges by product type, why they differ, and how to set your own target as an FBA seller.

Multichannel inventory management keeps one stock pool honest across Amazon and other channels. The overselling risk, syncing, and buffer allocation.

Connect Claude to your Inventory Hero account with our MCP server and ask about your live Amazon FBA inventory, sales, suppliers, and restock plan in plain English. Here's how to set it up in about a minute.

Not all inventory metrics are equal. Which ones warn you before a stockout (leading) and which grade you after (lagging), for FBA sellers.

Bulk uploading inventory to Amazon uses flat files to create or update many listings at once. How the files work, common errors, and how to upload cleanly.

Amazon inventory alerts warn you before you stock out, age into fees, or strand stock. What to alert on, how to set them up, and how to set thresholds.

How to track Amazon FBA inventory in Excel: the columns, the formulas for days of supply and reorder points, and when to graduate to software.

Product segmentation groups your SKUs so you can manage them differently. ABC and XYZ analysis, margin and lifecycle cuts, and why it matters.

Your Amazon return rate is returns divided by orders. How to find it, what is normal by category, and the levers that actually bring it down.

TACoS vs ACoS: ACoS measures campaign efficiency, TACoS measures ad reliance against total sales. The formulas, a worked example, and when to use each.

The inventory-to-sales ratio is inventory value divided by sales: a fast read on whether you carry too much stock. Formula, example, and FBA context.

Inventory accuracy is the share of your records that match reality. The formula, benchmarks, what breaks it, and how to improve it on Amazon FBA.

The inventory KPIs FBA sellers should track: sell-through, turnover, days of supply, GMROI, and DSI, with the formula and benchmark for each.

How much inventory to bring for an Amazon product launch, how to stage it across FBA and a 3PL, and how to protect against a launch that flops.

Inventory forecasting methods compared: moving average, weighted average, and exponential smoothing, and which one fits an Amazon FBA SKU.

How to forecast demand for a new Amazon product with no sales history: use analogs, a conservative first order, and a fast first reorder.

How to model Amazon sales seasonality: build seasonal indices from a year of history, forecast a baseline, and apply the index ahead of your lead time.

Demand planning for Amazon sellers turns a forecast into purchase orders, reconciled with cash, capacity, and your marketing and sourcing plans.

Stockout days are the days a SKU was unavailable. Why they quietly distort your velocity and IPI, how to find them, and how to exclude them from your math.

Running out of stock hurts your Amazon ranking because velocity drives rank. What happens while you are out, how much you lose, and how to recover.

Lost sales equal your stockout days times the velocity you would have had. The formula, a worked example, and how to adjust for trend and season.

A stockout costs far more than the missed sales: lost rank, a lower IPI, wasted ad spend, and a slow recovery. How to add up the true cost for FBA.

Improve your Amazon IPI score by fixing its four inputs: clear excess and stranded stock, raise sell-through, hold in-stock rate. A step-by-step guide.

Min/max inventory levels set the floor that triggers a reorder and the ceiling you restock to. How to set both on Amazon FBA, with a worked example.

Lead time variability, not just average lead time, is what your safety stock pays for. How inconsistent lead times change reorder math on Amazon FBA.

How much safety stock to hold on Amazon FBA: size it to demand and lead-time variability per SKU, not a flat number of weeks. Formula and worked example.

Days of supply vs days of inventory: what each measures, how to calculate them, and which one tells an Amazon FBA seller when to reorder.

The bullwhip effect amplifies small demand changes into big order swings up the supply chain. Its causes, why it hits FBA sellers, and how to dampen it.

Days inventory outstanding measures how many days it takes to sell your stock, at cost. The formula, a worked example, and how DIO drives your cash cycle.

The Amazon IPI score is a 0 to 1000 inventory health rating from four factors. What it measures, why it controls your FBA capacity, and how to read it.

A complete guide to Amazon inventory forecasting: the methods, how to handle seasonality and new products, and how to forecast around FBA lead times.

The inventory turnover ratio is COGS divided by average inventory value. The formula, a worked example, and what good looks like for FBA.

The weeks of supply formula is inventory on hand divided by average weekly sales. How to calculate it, read it, and use it to time reorders.

Economic order quantity (EOQ) is the order size that minimizes ordering plus holding cost. The formula, a worked FBA example, and where MOQ overrides it.

Days sales in inventory (DSI) is how many days your stock sits before it sells. The formula, a worked example, and how it relates to turnover for FBA.

GMROI is gross margin divided by average inventory cost: the margin each inventory dollar returns. The formula, an example, and why it beats turnover.

Sell-through rate is units sold divided by average units on hand. The formula, a worked example, and why it drives your Amazon IPI and restock timing.

Sales velocity is units sold per day, the engine of every restock decision. How to calculate it, why the window matters, and how to use it on Amazon FBA.