AI-Based Zone Efficiency
Every zone gets a live scorecard — fill rate, pick rate, throughput, picker performance, space utilization and equipment usage — benchmarked against that zone's own history, not a generic average. Underperforming zones surface automatically as the next candidates for Digital Twin reconfiguration.
Fill Rate: Scores each zone on order fulfilment completeness against its own historical baseline.
SKU & Zone Throughput: Aggregates inbound/outbound movement per SKU and zone to surface congestion and idle pockets.
Space Utilization: Shows exactly how full each zone is and how much genuine free capacity exists.
Pick Rate: Measures pick speed per zone and flags areas where pace lags the zone's own average.
Picker Performance: Breaks down pick speed, travel distance and error rate by zone, shift and supervisor.
Equipment Usage: Tracks forklift, trolley and MHE utilisation by zone — surfaces idle assets and bottlenecked corridors.
Digital Twin
Before any rack moves, Dtwin runs the numbers. It models new SKU mix, CBM and pallet-vs-carton density against your existing footprint, then compares As-Is, Reconfigure, Add-Racks and Hybrid scenarios side by side — cost, revenue and 3-year ROI included.
Capacity Check: Tests whether existing space can absorb projected new volume before any CapEx is committed.
Layout Recommendation: Generates the optimal bin-slot and aisle configuration, ready for supervisor sign-off.
Cost Modelling: Projects rack cost, labour delta, lost-sales risk and compliance cost, side by side.
Revenue Projection: Estimates the incremental throughput revenue unlocked by each layout or capacity option.
ROI & Payback: Compares 3-year ROI and payback period across every scenario, side by side.
Scenario Modelling: Full layout, cost and revenue impact of every option, reviewed before any physical move.
Indoor Positioning System (IPS-Based HHT)
Using BLE/UWB/Wi-Fi indoor positioning, every handheld terminal and picker shows up on a live floor map. Tasks auto-route to the nearest available picker in the correct zone, and travel paths recalculate dynamically as tasks change — cutting cross-zone travel and lifting throughput.
Real-Time Location Tracking: BLE/UWB/Wi-Fi indoor positioning pinpoints every HHT device and picker on the live floor map.
Geofenced Task Routing: Tasks auto-assigned to the nearest available picker inside the correct zone — less cross-zone travel.
Optimized Travel Paths: Shortest-path guidance between bin, pick face and pack station, recalculated dynamically as tasks change.
AI Assistant
Ask a question the way you'd ask a colleague — "Which zones are underperforming?" or "Where's my slowest pick rate today?" — and get an instant, data-backed answer pulled from live Zone Efficiency scores, IPS positions and order status, not a static report. Response accuracy improves the longer Classic WMS runs.
Plain-Language Queries: Ask in plain English and get an immediate, data-backed answer — no dashboard digging required.
Context-Aware Intelligence: Pulls live Classic WMS data — Zone Efficiency scores, IPS positions, order status — not static reports.
Continuous Learning: Query patterns improve response accuracy over time, the longer Classic WMS runs on your sites.
Command Center & Automated Self-Healing
Command Center gives tech/op’s leaders a single, live console across every Classic WMS site — utilization, errors and throughput at a glance, with role-specific dashboards for site supervisors. Paired with automated self-healing, common technical issues are detected and resolved without a support ticket or wait — already running in production today.
Live Deployment Monitoring: A single console showing the health of every Classic WMS site in real time — utilisation, errors, throughput.
Automated Self-Healing: Detects and resolves the most common technical issues automatically — no support ticket, no wait, no disruption.
Supervisor Dashboard: Role-specific dashboards for site supervisors — live queue depth, picker positions and zone alerts in one view.
