Built for the operations with the least room for error.
VisiQ was designed for distribution-intensive operations. The models, the ontology and the default dashboards all reflect floor-level experience across four industries where a missed decision costs real money the same day.
Unify every client. Every DC. One view.
Third-party logistics is the most data-complex environment in supply chain: multiple clients on multiple WMS platforms, activity-based billing, SLAs that are hard to measure, and facilities never designed to work together.
Core challenges
Multi-WMS silos
Each client may run a different system with no common data language between them.
Billing accuracy
Activity-based billing needs precise transaction capture — otherwise revenue leaks and disputes follow.
Cross-client benchmarking
Without unified data, comparing SLA performance and cost per unit across clients is guesswork.
Client reporting
Clients want real-time visibility; assembling those reports by hand is slow and error-prone.
How VisiQ solves it
Universal connector layer
Pre-built connectors normalise disparate client data without requiring any change to client systems.
Client-partitioned views
Role-based access ensures each client sees only their own data, with configurable KPIs and white-label options.
Automated billing audit
Flags discrepancies between billable activity and invoiced amounts, reducing revenue leakage.
Capacity forecasting
Predicts inbound volume per client one to two weeks out, enabling proactive staffing and dock allocation.
Cross-client SLA engine
Unified SLA tracking with proactive alerts, so no client commitment is missed unnoticed.
From peak-season panic to predictable performance.
Retail distribution is defined by extremes — peak volumes, omnichannel complexity, return waves and next-day expectations. Traditional BI fails here because the data is too fragmented and the decision windows too narrow.
Core challenges
Omnichannel complexity
Ship-from-store, BOPIS, DTC and wholesale each carry different SLAs and fulfilment logic across disconnected systems.
Seasonal spikes
Peak brings three to five times normal volume with no predictive staffing model, so overtime overruns and promises slip.
Returns overload
Post-peak return volumes overwhelm inbound without predictive visibility.
Inventory accuracy drift
Constant omnichannel movement leads to oversells and split shipments.
How VisiQ solves it
Unified order lifecycle
OMS, WMS and TMS merged into one view from cart to doorstep.
Peak demand forecasting
Models analyse historical patterns and promotional calendars to forecast DC volume four to six weeks ahead.
Returns intelligence
Predicts return volume 48 to 72 hours ahead from shipment data, enabling proactive dock and labour planning.
Real-time inventory health
Continuous accuracy monitoring across channels, with alerts when discrepancies exceed threshold.
Carrier scorecard
Ranks carriers by on-time performance, cost and damage rate to inform dynamic routing.
Close the gap between production and distribution.
Manufacturing supply chains run on tight interdependencies. A delay in inbound raw materials halts a line. Most manufacturers operate on ERP systems that show yesterday's picture of a problem that started this morning.
Core challenges
Raw material visibility
Inbound freight delays and ASN non-compliance cause unplanned production stoppages that cost thousands per hour.
WIP and finished-goods sync
Work-in-progress rarely reconciles between MES, ERP and WMS in real time.
Distribution handoff
The move from production to distribution is a black box, so customer commitments slip without warning.
Demand-production alignment
Without predictive demand signal, production planning runs on lagging information.
How VisiQ solves it
Inbound risk prediction
Flags at-risk raw material deliveries early enough to reschedule the line rather than stop it.
MES-ERP-WMS reconciliation
One connected view of inventory state across production and distribution.
Finished-goods flow
Tracks the handoff from line to dock to customer as a single traceable chain.
Demand-aligned planning
Forecast signal feeds production planning instead of arriving after the schedule is fixed.
One control tower across every site.
Multi-site distribution networks fail at the seams. Each DC optimises locally, freight is bought site by site, and nobody can see which facility is actually carrying the network's cost.
Core challenges
Site-level blind spots
Each DC reports differently, so network-level comparison is manual and contested.
Freight fragmentation
Lanes are bought locally, leaving consolidation savings on the table.
Labour benchmarking
Without common standards, productivity comparison between sites is meaningless.
Network-level risk
A local exception becomes a customer problem before anyone upstream sees it.
How VisiQ solves it
Network control tower
Every facility on one index, with drill-down from network to site to zone.
Freight optimisation
Consolidation and routing intelligence applied across the network rather than per site.
Cross-site labour benchmarking
Common standards make productivity differences real and actionable.
Propagated risk view
Traces how a local issue reaches a customer commitment elsewhere in the network.
See what it looks like in your industry.
Book a demo and we'll use your sector's data shape as the worked example — not a generic one.