Inventory management is one of the most painful and complex parts of running a direct-to-consumer ecommerce brand. From unpredictable demand to fragmented sales channels, merchants often find themselves guessing what to order and when, which can tie up capital, create stockouts, and ultimately hurt profitability.

In a recent webinar, Brandon Thurgood sat down with Will Westover, Redo’s General Manager of Inventory Management, to discuss how Redo is transforming this challenge with AI-powered demand planning. Will brings deep operator experience to the table, including time at Solo Stove, where he helped scale the business through rapid growth and even an IPO.

Here’s what we learned about the most common pain points in inventory management, how Redo’s platform addresses them, and what the future of AI-powered inventory looks like for ecommerce brands.

From Spreadsheet Chaos to AI Precision

Will began his ecommerce journey as a teen, launching his first store in eighth grade. Later, he joined Solo Stove in its early days, running marketplace operations and navigating the chaos of fast growth.

That experience exposed him to the operational bottlenecks that plague ecommerce merchants, especially around inventory. "The average merchant overstocks their core items by 15 to 20 percent," Will explained. "That capital is tied up and can’t be invested into other products that could be selling."

On the flip side, understocking can be just as damaging. "When people make poor predictions, they don’t have anything to sell. That leads to customer service issues and makes it hard for the business to run efficiently."

The Real Problem: Ecommerce Inventory Is Still a Guessing Game

Despite the availability of tools, many ecommerce brands still rely on spreadsheets and intuition to make major inventory decisions. This creates two major problems:

1. Lack of accurate forecasting: Most brands struggle to predict how many units they’ll sell in the next 30 days with even 70 percent accuracy.
2. Disconnected data across channels: Amazon provides session-level data per SKU. Shopify does not. As Will put it, "Getting that data to talk and sync is a huge challenge."

These issues become more painful as brands scale and add channels like Amazon, TikTok Shop, and wholesale. Without unified, real-time forecasting across every channel, it becomes nearly impossible to know what to reorder, when, and how much.

Redo's AI-Driven Demand Planning: Forecasting You Can Trust

Redo is solving this with a robust demand planning engine that uses AI to generate SKU-level forecasts with over 90 percent accuracy. This gives operators high-confidence data they can use to make purchase decisions and allocate cash more efficiently.

"Our goal is to get to a point where AI can basically run your ecommerce brand for you," Will said.

Here’s how Redo’s system works:

• SKU-level demand forecasting: Redo forecasts demand at the SKU level, not just at the store level. The system uses historical order volume, external data (like Reddit mentions), and channel-specific data to predict future demand with precision.
• Confidence scores and guarantees: Each forecast includes a confidence score, and Redo stands behind its predictions. "If you're interested in using our prediction software but you're not sure it’ll work, you don’t pay for it unless it does," Will shared.
• Daily refresh cycles: Predictions are updated daily to ensure that merchants are always working with the most current and accurate data.
• Anomaly detection and seasonality: Redo adjusts for anomalies like BFCM, one-off product drops, and seasonality. "Consumers tend to behave similarly year over year. We’re able to extrapolate based on market trends and behavior across our merchant network."

AI Agents That Think Like Operators (But Better)

Demand planning is just the foundation. Redo is building AI agents that automate the next layer of decisions based on those forecasts.

For example, the system can identify SKUs that are at risk of stocking out and automatically prioritize reordering based on margin and ROI. As Will explained:

"The AI will look at 15 SKUs that are going to stock out soon and say, these three actually give you the best return on investment, even if they’re not your top sellers. So you should create purchase orders for those."

Because the AI operates with structured logic every time, it makes more consistent and accurate decisions than humans. It also does it faster and with less overhead.

Dynamic Pricing Agent: Turning Inventory into Margin

One standout feature is Redo’s new dynamic pricing agent. This tool automatically adjusts prices based on live inventory levels.

Will described the inspiration from his time at Solo Stove:

"I would manually raise prices on Amazon as products got closer to stocking out to slow down sales and protect margin. We’ve now automated that logic."

Merchants can set inventory thresholds that trigger price increases and apply them across any product set. This small automation can significantly improve margins without manual oversight.

Fixing the "Source of Truth" Problem

For many brands, Shopify is the supposed source of truth for inventory — but in reality, the data is often wrong. Redo solves this with a simple scan-and-sync feature.

"Most people’s Shopify inventory is not correct," Will said. "So we built a barcode scanning tool. You scan what’s actually in your warehouse, and it updates Shopify with the correct count."

This ensures that forecasting and reordering decisions are based on real, accurate inventory data.

Multi-Channel Ready, Built to Scale

Redo is designed for brands selling across multiple platforms. It supports full catalog syndication across Amazon, TikTok Shop, and other marketplaces, complete with AI-enriched meta fields to fill in platform-specific data requirements.

Operators no longer need to maintain separate spreadsheets or hire external help to manage catalog listings. Everything is centralized and automatically synced.

Why Brands Are Excited

When asked what merchants are most excited about, Will emphasized two things:

1. Clean, unified data: "People are excited not to have to export everything and do data science by themselves. We clean and format the data so you can just use it."
2. Trustworthy inventory predictions: "Merchants love that our system gives them high-confidence forecasts without needing a team of analysts."

Inventory Forecasting Is No Longer a Job for Humans

One of the boldest claims from Will: “AI can now predict better than a team of five people.”

Many operators are still coming to terms with this shift. But Redo is betting on a future where inventory management is largely automated — and more accurate, efficient, and profitable as a result.

"AI is structured to make the same high-quality decision every time," Will explained. "It’s cheaper than hiring a full team and it's guaranteed to perform."

Try Redo Inventory Management

Redo’s Inventory Management system is currently being rolled out to select brands. If you want to:

• Eliminate inventory guesswork
• Forecast with 90 percent+ accuracy
• Free up capital tied in overstock
• Prevent stockouts that frustrate customers
• Automate pricing, reordering, and catalog sync

Then this is your chance to modernize your operations.

View the interview here.