Supply Chain & Logistics Digital Transformation
Houranium helps operators and executives improve end-to-end visibility, OTIF, inventory health, and cost-to-serve through pragmatic digital transformation across data, systems, and execution teams.
Transformation Focus
Control Tower Operating Layer
Milestone events, service-risk alerts, exception queues, root-cause tracking
WMS/TMS/ERP handoffs, SOP redesign, throughput and dispatch decision support
KPI definitions, ownership cadence, escalation rules, adoption playbooks
Consulting Mode
Advisory + execution support. Strategy is translated into backlogs, delivery checkpoints, and operating routines.
About
I work at the intersection of operations and technology, helping supply chain organizations turn fragmented processes and disconnected systems into measurable performance improvement. The focus is not transformation theater. It is durable execution.
Cross-network visibility
Ports, warehouses, carriers, planners, and customer service connected through shared signals.
Data trust
Clear definitions and event logic that make metrics actionable.
System pragmatism
Improve what exists before replacing what still works.
Change adoption
Operational routines and ownership that persist after rollout.
Services
Engagements are structured to create measurable operational improvements quickly, while leaving behind stronger systems, governance, and team capability.
Problem: Leaders lack a trusted, cross-functional view of service risk, constraints, and exceptions across network nodes.
Approach: Map decision moments, define exception logic, unify event and master data, and design role-based workflows for planners, operations, and customer service.
Deliverables
Problem: Core platforms exist, but process friction, poor interfaces, and manual workarounds reduce service and inflate cost.
Approach: Diagnose process breaks, redesign integration patterns (API/EDI), harden master data ownership, and prioritize changes with measurable operational impact.
Deliverables
Problem: Service targets and working capital are out of balance due to static policies, poor segmentation, or weak scenario planning.
Approach: Create a data-backed segmentation model, model scenarios for service/cost tradeoffs, and define policy changes for inventory, replenishment, and transport.
Deliverables
Problem: Teams spend time on repeatable exception handling, rekeying, and status chasing across systems and partner touchpoints.
Approach: Use process mining to identify high-friction paths, then automate low-risk steps with human-in-the-loop controls and exception visibility.
Deliverables
Problem: Metrics exist everywhere, but definitions vary, trust is low, and teams cannot move from reporting to action.
Approach: Define a KPI dictionary, measurement logic, owner cadence, and escalation thresholds linked to decision rights and operational rituals.
Deliverables
Case Studies
Examples below reflect typical transformation patterns and measurable results achieved through combined process, systems, and operating-model improvements.
Challenge: Regional planners and transport teams were operating from conflicting reports, driving late exception response and expediting spend.
Solution: Designed a control tower model for order-to-delivery visibility with role-based alerts, OTIF root-cause slicing, and a weekly service recovery cadence.
Before
Lagging reports, inconsistent OTIF definitions, email-driven escalation.
After
Single KPI logic, live exception queues, cross-functional control tower rituals.
Challenge: Warehouse and transport handoffs were manually coordinated across customers, creating charge disputes and poor dock throughput.
Solution: Redesigned integration and event tracking between WMS/TMS, standardized milestone statuses, and implemented operational dashboards with SLA alerts.
Before
Manual rekeying between systems and inconsistent shipment milestones.
After
Automated milestones, SLA alerts, and cleaner operational handoffs.
Challenge: Inventory was tied up in slow-moving nodes while priority SKUs experienced recurring stockouts and volatile fulfillment cost.
Solution: Built SKU-location segmentation and scenario models, aligned replenishment policies, and introduced a service/cost review cadence tied to OTIF and margin.
Before
Uniform policy across SKUs and channels with limited scenario testing.
After
Segmented policies and decision cadence tuned to service and margin targets.
Testimonials
“Houranium brought operational credibility and technical discipline. The control tower program moved from concept slides to working routines the teams actually used.”
“Rare combination of systems thinking and frontline empathy. We improved milestone visibility without overengineering the rollout.”
“The KPI operating system work clarified ownership across planning, logistics, and customer service. Decision speed improved noticeably within weeks.”
Insights
Adoption fails when control towers prioritize visual density over decision clarity. Start with exception decisions, not screens.
Improving OTIF requires coordinated changes across planning, execution, data quality, and service recovery workflows.
Modern logistics architecture is hybrid. The goal is resilient event flow and business clarity, not replacing every interface at once.
Contact
If you are improving service, reducing logistics cost, or trying to get better decisions from your supply chain data and systems, this is the right place to start.
Share your current priorities, constraints, and where you need traction. I will respond with fit, likely scope, and the fastest useful first step.