Fulfillment AI is fabric AI’s assistant for optimizing order fulfillment and inventory processes. Designed to streamline operations and enhance decision-making, Fulfillment AI helps retailers address distribution inefficiencies and shipping issues while reducing costs and improving customer satisfaction.

Fulfillment AI offers a proactive, data-driven approach to managing complex fulfillment workflows by providing actionable insights and recommendations tailored to your unique inventory and order fulfillment needs.

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Key Capabilities

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Improve order consolidation rate

Fulfillment AI helps consolidate orders effectively by analyzing fulfillment patterns and identifying opportunities to combine shipments. This reduces the frequency of split shipments and minimizes shipping costs.

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Reduce overselling

By monitoring real-time inventory levels, Fulfillment AI ensures accurate stock availability across all sales channels. It identifies potential overselling risks and allows users to take corrective actions, such as reallocating stock or adjusting order limits, to maintain customer trust and satisfaction.

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Update fulfillment rules and inventory quickly

Fulfillment AI streamlines operational adjustments by offering users the ability to modify fulfillment rules and inventory settings directly within Copilot. This flexibility allows users to respond quickly to changing conditions, such as supply chain disruptions or shifts in demand, without requiring extensive manual intervention.

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Use Case

A national retailer specializing in electronics relies on fabric to manage its distributed fulfillment network, which includes regional warehouses and physical stores.

During a peak sales period, the retailer notices a spike in split shipments and delayed orders in certain regions. These inefficiencies are increasing shipping costs and putting delivery timelines at risk, potentially impacting customer satisfaction and eroding profit margins.

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Using Fulfillment AI

The retailer’s operations manager uses Fulfillment AI to investigate the root causes of delayed shipments and high split order rates. Fulfillment AI identifies a combination of low inventory levels in key locations and inefficient allocation rules as the primary issues. It suggests the following solutions:

  • De-prioritize under-performing locations.
  • Reallocate inventory to regions with higher demand.

In addition, Fulfillment AI proactively identifies SKUs contributing to the inefficiencies and provides tailored recommendations to adjust stock levels and allocation rules.

The operations manager reviews and applies the recommendations directly within Copilot. Fulfillment AI ensures that all updates meet predefined schema requirements and are implemented in real-time.

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Outcome

By using Fulfillment AI, the retailer reduces split shipments, improves order lead times, and lowers overall shipping costs. These improvements enhance customer satisfaction and optimize operational efficiency, helping the retailer maintain a competitive edge during high-demand periods.

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