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How to Forecast Demand for a New Product With No Sales History

How to Forecast Demand for a New Product With No Sales History

Demand forecasting is hard enough when you have years of sales data to work with. When you're launching a brand new product — one that has never been sold before — you're working with nothing. No trendline to extrapolate. No seasonality to account for. No historical velocity to build from.

How to Build Your Q4 Inventory Plan in Q3 (Before It's Too Late)

How to Build Your Q4 Inventory Plan in Q3 (Before It's Too Late)

For ecommerce brands, Q4 is the year in miniature. Black Friday. Cyber Monday. Holiday gifting. The weeks between Thanksgiving and Christmas can represent anywhere from 30 to 50 percent of annual revenue for some brands — compressed into a matter of weeks. Get it right and you finish the year strong. Get it wrong and you spend Q1 recovering from stockouts, excess inventory, and the ranking damage that comes with both.

How AI Is Making Ecommerce Supply Chains Leaner and More Efficient

How AI Is Making Ecommerce Supply Chains Leaner and More Efficient

Running a lean supply chain used to mean one thing: cut costs wherever possible. Reduce headcount, negotiate harder with suppliers, squeeze every dollar out of freight. It was a game of minimization, and it came with real tradeoffs — lower safety stock meant higher stockout risk, tighter supplier terms meant less flexibility, and leaner teams meant more pressure on the people left.

Q3 Is Here. If You Haven't Started Planning for Q4, You're Already Late.

Q3 Is Here. If You Haven't Started Planning for Q4, You're Already Late.

It's easy to feel like there's plenty of time left in the year.Prime Day just wrapped, summer is in full swing, and Black Friday still feels like a distant, abstract date on the calendar. But for ecommerce brands, that sense of spaciousness is an illusion. By the time Q4 actually arrives, the decisions that determine whether it's a record quarter or a stockout-riddled scramble have already been made — usually months earlier, in Q3.

How AI Is Changing the Way Brands Make Inventory Decisions

How AI Is Changing the Way Brands Make Inventory Decisions

For most of retail history, inventory planning has been a guessing game dressed up as a science. Buyers look at last year's sales, factor in a gut feeling about the season, pad the number "just in case," and place a purchase order. Sometimes it works. Often, it doesn't — and the result is either a stockout that costs you sales and rank, or a warehouse full of product that ties up cash for months. Understandingwhere ecommerce brands actually lose money in inventory is the first step toward fixing it.

Why Prime Day Is the Ultimate Test of Your Inventory Strategy

Why Prime Day Is the Ultimate Test of Your Inventory Strategy

For Amazon sellers, Prime Day is one of the most anticipated events on the calendar. It consistently ranks among the highest-volume sales days of the year, and for many brands it represents a significant share of annual revenue. But Prime Day is also one of the most unforgiving events from aninventory planning perspective.

Stop Managing Inventory and Start Talking To It

Stop Managing Inventory and Start Talking To It

For most ecommerce brands, inventory management looks something like this: a spreadsheet, a dashboard, a weekly report someone pulls manually, and a standing meeting to review numbers that are already a few days old by the time the team sees them.

Where Ecommerce Brands Lose Money in Inventory (and How AI Fixes It)

Where Ecommerce Brands Lose Money in Inventory (and How AI Fixes It)

Inventory is one of the most important — and most misunderstood — drivers of profitability in ecommerce. Most brands think about inventory primarily from an operational standpoint. Do we have enough stock? Are shipments arriving on time? Can we fulfill customer orders quickly enough?

Why Amazon Sellers Are Moving from Spreadsheets to AI for Inventory Planning

Why Amazon Sellers Are Moving from Spreadsheets to AI for Inventory Planning

For years, spreadsheets were the default solution for inventory planning in ecommerce. They were flexible, inexpensive, and familiar. In the early stages of an Amazon business, a spreadsheet could handle forecasting, reorder calculations, supplier tracking, and inventory monitoring well enough to support growth.

When Should You Use AI for Demand Forecasting? (Use Cases + Examples)

When Should You Use AI for Demand Forecasting? (Use Cases + Examples)

Inventory forecasting used to be relatively straightforward.

Brands looked at historical sales trends, estimated future demand, and reordered inventory accordingly. But ecommerce has changed dramatically over the last several years. Customer behavior moves faster, trends emerge overnight, and a single viral moment can completely disrupt months of inventory planning.