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    المستودعات والمخازن واللوجستية
    19983

    Empowering Warehouse Operations & Management through AI

    10-11-2025 To 14-11-2025
    Istanbul
    warehouse and logistics mgmt

    A practical, system-agnostic program showing how to combine AI techniques—optimization, machine learning, computer vision, and copilots—with existing WMS/WES/ERP/TMS stacks. Participants learn to build clean data foundations, orchestrate yard and dock activity, optimize slotting and pick paths, detect anomalies in real time, and govern AI decisions for auditability and compliance. Toolkits and labs focus on quick wins, sustainable scale-up, and measurable KPIs.

    Date :
    From 10 Till 14 Nov. 2025
    City :
    Istanbul
    Fees :
    4500
    • Date City Fees
    Date :
    From 10 Till 14 Nov. 2025
    City :
    Istanbul
    Fees :
    4500
    • Date City Fees

    Overview

    Equip warehouse leaders to design and run AI-enhanced operations that increase flow, accuracy, and safety while lowering cost-to-serve—across inbound, storage, fulfillment, and dispatch.

    A practical, system-agnostic program showing how to combine AI techniques—optimization, machine learning, computer vision, and copilots—with existing WMS/WES/ERP/TMS stacks. Participants learn to build clean data foundations, orchestrate yard and dock activity, optimize slotting and pick paths, detect anomalies in real time, and govern AI decisions for auditability and compliance. Toolkits and labs focus on quick wins, sustainable scale-up, and measurable KPIs.

    Who Should Attend

    Target Group

    • Warehouse and distribution managers.
    • operations supervisors.
    • inventory control leads.
    • industrial/process engineers.
    • fulfillment planners.
    • quality/HSE leaders, and IT/OT or analytics partners enabling WMS/WES initiatives.
    • Map AI use-cases to dock-to-stock, inventory integrity, picking productivity, service levels, and cost.
    • Prepare reliable data pipelines from master data, transaction logs, sensors/IoT, and vision sources.
    • Apply AI to inbound scheduling, yard/dock assignment, put-away logic, and early quality triggers.
    • Optimize slotting, replenishment, and pick routing using demand signals and constraint models.
    • Deploy anomaly detection and computer vision for shrink, mis-picks, safety, and compliance.
    • Produce clear operating briefs, exception queues, and KPI stories with traceable evidence.
    • Establish governance for safety, ethics, model validation, security, and continuous improvement.
    • AI-enabled flow optimization and exception management
    • Data-driven slotting, replenishment, and pick-path design
    • Computer vision for accuracy, safety, and compliance
    • Labor planning, cost-to-serve analysis, and KPI storytelling
    • Governance, data quality, security, and audit-ready evidence management

    AI Roadmap & Data Foundations for the Warehouse

  • Value levers and KPI tree: throughput, UPH, accuracy, OTIF, cost per order, DPMO
  • Data readiness: item/location masters, units of measure, timestamps, telemetry, lineage
  • Copilot patterns for SOPs, shift handovers, exception narratives, and KPI summaries
  • Integration touchpoints across WMS/WES/ERP/TMS/BI and edge devices
  • Quick-win heatmap and pilot selection with baseline/benefit tracking

    • Yard, Inbound & Put-Away Intelligence

  • Appointment optimization and dynamic dock/door assignment to reduce dwell
  • Vision-assisted receiving: label/ASN checks, damage/shortage detection, count verification
  • Put-away recommendations considering velocity, proximity, compatibility, and congestion
  • Supplier quality signals: defect clustering, early escalation, feedback to master data
  • Cross-dock and flow-through logic for fast movers and peak days

    • Contact Us

    For each learning and development project we establish strong relationships and effective communication with partners.
    Don't hesitate to contact us.