What Most Marketplace Teams Are Missing About Supply-Demand Management

You're misallocating ↘ inventory — and you don't even know it.

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Every day, enterprise brands leave sales on the table, flood the wrong channels, or overcommit inventory to underperforming programs. Forecasts are off. Demand signals are missed. Returns data isn’t factored in. And while teams try to reallocate manually, aging stock grows and margin erodes.

The Silent Risks You’re Not Seeing

↘ Forecasts made on static or siloed data, misaligned with real sell-through

↘ Aging inventory tied up in the wrong channels - while others go out of stock

↘ High-return SKUs receiving equal allocation, hurting margin and satisfaction

↘ This isn’t just inefficiency. It’s hidden opportunity cost at scale.

Why Legacy Tools Don’t Catch Them

↘ ERPs and WMSs manage logistics — they don’t predict or optimize marketplace demand

↘ Forecasting and allocation are disconnected — or stuck in spreadsheets

↘ No linkage between pricing, promotion, listing, and demand impact

↘ Marketplace integrations typically don’t expose real-time product detail page (PDP) traffic or return behavior, limiting visibility into early demand signals or post-sale performance.

↘ Legacy systems react to inventory. Gierd predicts what you’ll need - and where.

↘ Most data is aggregated, delayed, or limited to transactional summaries (sales, refunds).

How Gierd Surfaces and Resolves Them

↗ Gierd’s Supply & Demand Core understands planning, pricing, allocation, and returns into a unified optimization perspective in real time

↗ AI-powered demand forecasting by SKU, [category, channel], and timeframe

↗ AI-powered demand forecasting and supply planning — with automated allocation driven by margin optimization, inventory aging, and channel-level performance.

↗ From forecasting to fulfilment, the model ensures supply stays aligned with both business goals and real-world demand signals.

↗ Gierd uses return patterns to guide smarter allocation helping you avoid channels and SKUs with high return rates.

3 most popular features in Supply & Demand

SKU-Level AI-powered Forecasting

Demand forecasting is the foundation for all downstream logic of the entire planning process. It sets the tone for a sophisticated, forward-looking product and powers all downstream modules by enabling SKU- and channel-level personalization.

TOOLTIP

Predict demand at the SKU × channel × week level using AI-driven models — enabling smarter procurement, allocation, and pricing

Intelligent Supply Routing

Convert insights into operational decisions, bridge forecasting and execution, transforming predictions into concrete logistics and inventory actions. Directly drive ROI by minimizing overstock and enable velocity-based channel decisions, making its value instantly clear: put inventory where it will sell

TOOLTIP

Recommend routing for inventory across channels using rules based on margin, aging, and demand forecasts — reduce idle stock and maximize ROI

Forecast Accuracy Insights

Build transparency and trust in the AI-powered model, helping you validate performance, align assumptions, and track improvements

TOOLTIP

Measure how predicted demand compares to actuals to improve planning precision and build trust in the model

Frequently asked questions

How does Gierd optimize inventory allocation across marketplaces?

Gierd’s Supply & Demand Core connects demand forecasting, pricing, and allocation into a closed-loop optimization system. It continuously predicts sell-through by SKU, channel, and timeframe — and auto-routes supply based on margin, aging stock, and program performance. Instead of static rules or guesswork, Gierd dynamically aligns inventory with where it earns most.

How does Gierd optimize inventory allocation across marketplaces?

Can Gierd prevent us from overcommitting to low-margin or high-return SKUs?

What types of data does Gierd use to make supply and demand decisions?

Gierd ingests and normalizes real-time data across all major marketplaces — including sales velocity, listing changes, promotions, returns, cancellations, and fulfillment performance. It integrates that with AI-driven forecasts and promotion models, enabling smarter decisions across supply routing, stock prioritization, and pricing impact. All actions are tracked in a unified audit trail.

What types of data does Gierd use to make supply and demand decisions?

Can Gierd help detect when forecasts are wrong — and course-correct?

Absolutely. Gierd’s Forecast Accuracy Engine tracks deltas between projected and actual demand at SKU, channel, and program level. When discrepancies emerge, it automatically adjusts future predictions and flags contributing factors (e.g., delayed promotions, listing suppression, misaligned supply). This allows teams to fix forecast errors before they cascade into aging inventory or missed sales.

Can Gierd help detect when forecasts are wrong — and course-correct?

What if we’re already using an ERP or WMS — how does Gierd fit in?

Gierd isn’t a replacement — it’s an intelligent layer on top. Unlike ERPs or WMS tools, which manage fulfillment and static planning, Gierd actively orchestrates allocation based on real-time commercial signals. It plugs into your existing stack via API, extracts primary data from marketplaces, and enhances it with orchestration logic. Your core systems stay intact — but get smarter.

What if we’re already using an ERP or WMS — how does Gierd fit in?

Reveal Your Supply & Demand Blind Spots

You’ve scaled your operations. ↗ Now scale your intelligence — with allocation that earns, not just moves.

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Stop reacting to demand.
Start commanding it — across every channel, every SKU, in real time.