Order management

We understand the challenges of managing orders, trips, and deliveries – the complexities, the tight deadlines, and the constant pressure to meet customer expectations. That's why we designed our system to automatically manage orders, taking the heavy lifting off your shoulders.

  • Automated order management

    Fabric automatically receives, processes, and prioritizes orders while assigning tasks like picking, storage, and consolidation based on dispatch time and delivery method.

  • Eliminating
    stockouts

    When an order is placed, Fabric automatically reserves inventory - including from expected incoming stock - to prevent overselling and ensure customer satisfaction.

  • Putaway
    prioritization

    Fabric analyzes upcoming order requirements and recommends which SKUs should be decanted first, ensuring all orders are accurately fulfilled without any missing items.

  • Automatic order consolidation

    Fabric automatically consolidates orders from all temp zones, and includes manually picked items like cut-to-order meats, significantly reducing labor costs and simplifying dispatch.

  • On-demand
    and trips

    Dispatch individual orders on-demand, in batches for trips, or a mix of both methods - our system will handle it all automatically.

Advanced order management capabilities

  • Easy investigations

    Fabric simplifies investigations by providing detailed transaction logs and video footage for all items and orders.

  • Pick-ahead functionality

    When needed, pick orders in advance, and dispatch them by delivery sequence at dispatch. This helps soften peaks, like picking early-morning deliveries the night before.

  • Acing demand surges

    Fabric adjusts to demand surges, ensuring accurate,
    on-demand fulfillment at scale, while keeping your operations calm and organized.

  • Personalizing orders

    Fabric can easily personalize orders by incorporating samples, gifts, and special packaging to enhance customer experience, all while maintaining a high-volume throughput at scale.