Executive Cockpit, exception engine, playbooks, network design, capacity planning, peak readiness and service footprint in a single decision layer. GenAI applied to supply chain with consolidated KPIs from all modules.
Realtime
End-to-end visibility
GenAI
Assisted playbooks
Digital twin
What-if simulation
Peak-ready
Capacity planning
Consolidated KPIs from WMS, TMS, OMS, YMS, ESG and Finance — with drill-down by tenant, channel and region.
Exception engine that detects deviations, triggers playbooks and escalates to human when needed.
Versioned rules that automate decisions — with full audit trail via event ledger.
Digital replica of the logistics network for real-time what-if simulation.
Network optimization: distribution centers, routes, cross-dock, modal shift, cost-service.
Capacity planning by time window, dock, distribution center, route and human resources.
Stress test and contingency plan for Black Friday, Christmas, massive promotions.
Assistant that drafts playbooks, explains exceptions and suggests adjustments via natural language.
Consolidated metric of OTD (TMS) + order completeness (OMS) + accuracy (WMS).
Total cost per order with allocation in costAllocations and billing.
Geographic coverage with response time, cost-to-serve and CO2e by region.
Many companies call what is, in practice, a KPI aggregator panel a control tower. A real control tower needs to observe, decide, act and learn. In NexLog OS, the control tower consumes the event ledger (`businessEvents`) from all modules, applies exception engine on deviations, scales versioned playbooks and exposes digital twin for what-if simulation. Consolidated KPIs (unified OTIF, cost-to-serve, service footprint) live in the same dashboard, without ETL.
With the unified MDM and the central event ledger, it is possible to run simulations on top of the actual business state. Network design tests new network scenarios; capacity planning sizes docks, routes and distribution centers before the peak; peak readiness validates the operation against expected peaks. These simulations are what differentiate a stable Black Friday from a chaotic one — and what makes Capacity Planning a continuous exercise, not an annual one.
NexLog OS's GenAI layer acts as a copilot: suggests playbooks, explains exceptions in natural language, summarizes dashboards for leadership and adjusts parameters under supervision. Because it lives in the same event and canonical data core of the OS, AI does not need a parallel data lake — it learns on top of transactional state, with native governance and traceability.
Connect WMS, TMS, OMS, YMS, Customs and ESG in the same core — with exception engine, playbooks and GenAI.