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Kay Bailey Hutchison Convention Center Dallas - September 16-17, 2026

Technology & Automation Theater

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Technology & Automation Theater

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10:00
  1. 20 mins
    • How to size automation to your SKU profile, labor reality and service promise
    • Where operators over-automate or under-automate
    • A simple framework for sequencing investment
10:20
  1. 20 mins
    • What to share, what not to share and how to govern it
    • Security patterns for multi-party visibility and control towers
    • Avoiding ‘integration spaghetti’ across partners
10:40
  1. 20 mins
    • Turning condition monitoring into real interventions
    • Reducing unplanned downtime without over-maintaining assets
    • What ROI looks like and how to measure it
11:00
  1. 20 mins
    • How simulation supports layout and process decisions
    • What data you actually need to build useful models
    • Common mistakes and how to avoid them
11:20
  1. 20 mins
    • Design principles for high-throughput smalls and mixed profiles
    • Flexibility vs efficiency: where to standardize and where to stay modular
    • Designing for peak without designing for waste
11:40
  1. -20 mins
12:00
  1. 20 mins
    • Designing traffic, zones and handoffs for people and robots
    • Measuring performance: pick rates, travel reduction and exception rates
    • Integration realities: WMS/WES triggers and site change management
12:20
  1. 40 mins
    • What makes automation programs succeed or fail after the pilot
    • Integration patterns that avoid downtime and rework
    • How operators measure payback in the real world
13:40
  1. 20 mins
    • How teams set up safe mixed-traffic operations
    • Training, signage and process controls that reduce near-misses
    • What to review before go-live: layouts, guarding and emergency procedures
14:00
  1. 20 mins
    • Use cases delivering measurable value today
    • Designing exception workflows so vision improves outcomes
    • Deployment considerations: lighting, placement and integration
14:20
  1. 20 mins
    • Adding robotics around legacy conveyors and pick modules
    • Interoperability basics: APIs, events and orchestration signals
    • Cutover planning and risk management
14:40
  1. 20 mins
15:00
  1. 20 mins
    • Deciding what belongs in WMS vs WES vs controls
    • Real-time exception handling and wave management
    • Avoiding brittle point-to-point integrations
15:20
  1. 20 mins
    • Threat models specific to OT and connected automation
    • Hardening sites without stalling delivery
    • Incident response basics for warehouse ops teams
15:40
  1. 20 mins
    • Designing systems that adapt as volume, SKUs and layout change
    • Avoiding lock-in and future-proofing upgrade paths
    • Combining mechanization and robotics for resilience
16:00
  1. 20 mins
    • Questions buyers should ask about integration, support and upgrade paths
    • What to test in demos and site visits to avoid surprises
    • Comparing solutions on outcomes, not features
10:00
  1. 20 mins
    • What changes in supervision, escalation and exception handling as automation scales
    • Ergonomics, safety and trust: designing workflows people will use
    • Reducing the ‘hidden labor’ created by automation
10:20
  1. 20 mins
    • Testing automation scenarios before committing investment
    • Which assumptions matter most and how to validate them
    • Using simulation to support executive decisions
10:40
  1. 20 mins
    • Coordinating robotics, picking and material handling

    • Improving real-time decision-making on the warehouse floor

    • Enabling scalable, high-performance fulfilmentEPG

11:00
  1. 20 mins
11:40
  1. 20 mins
    • Avoiding black-box recommendations planners reject
    • Using execution outcomes to improve forecast performance
    • Governance basics for AI in planning
12:00
  1. 20 mins
    • Asset tracking and location intelligence that reduces wasted time
    • Event streams that power exception management
    • Where IoT projects fail and how to keep them focused
12:20
  1. 20 mins
    • Skills planning for technicians, supervisors and ‘robot wranglers’
    • Practical training models that work on shift schedules
    • How to reduce friction and improve retention
13:20
  1. 20 mins
    • Cutting failed deliveries and re-delivery costs
    • Dynamic routing and capacity decisions based on real constraints
    • Making tracking proactive, not reactive
13:40
  1. 20 mins
    • What to standardize (and what not to) across the stack
    • Designing for change: replacing components without breaking everything
    • Integration patterns that scale across multiple sites
14:00
  1. 20 mins
    • Where throughput gets lost: induction, merges, recirculation and jam points
    • Balancing speed, accuracy and maintainability as SKU mix changes
    • What to consider when upgrading: scanners, controls, layout and operating practices
14:20
  1. 20 mins
14:40
  1. 20 mins
    • Reducing mis-picks, mis-shipments and damage at high throughput
    • Designing exception flows and quality gates that scale
    • Practical deployment: placement, lighting and integration
15:00
  1. 20 mins
    • Where micro-fulfillment improves service and where it adds cost
    • Designing for fast replenishment and high variability
    • Getting the operating model right for distributed nodes
15:20
  1. 20 mins
    • Boosting pick productivity without locking into fixed infrastructure
    • Managing traffic and congestion in mixed fleets
    • Measuring success beyond ‘robots deployed’