Services built on operations knowledge
We design, architect, and implement software that turns your operational data into daily decisions.
Logistics Control Tower Design
A unified command center for your network. We design and architecture a control tower that ingests data from carriers, warehouses, and third-party systems, then surfaces the information your team needs to act.
What we deliver:
- • Architecture design for data ingestion and normalization
- • Real-time shipment visibility dashboard
- • Custom alert and routing rules
- • Integration with your ERP and TMS
Best for:
Multi-site networks, regional distributors, 3PLs managing multiple customer shipments.
Implementation Approach
Week 1-2: Discover
Map your data sources, define KPIs, identify bottlenecks.
Week 3-4: Design
Architecture dashboard, alert rules, integration points.
Week 5-8: Build & Integrate
Deploy control tower, connect data sources, test edge cases.
Week 9-12: Pilot & Improve
Live testing with select teams, refinement, full rollout.
Why it matters
Operational KPIs should reflect what's actually happening on the dock, not what a spreadsheet says happened. We design metrics that are measurable, actionable, and true.
Typical outcomes
- ✓ 40% reduction in KPI variance week-to-week
- ✓ Leadership reporting time cut by 60%
- ✓ Root-cause analysis turnaround: 1 day vs. 2 weeks
Operational Analytics & KPI Architecture
Your operational metrics should tell the truth. We build KPI frameworks that reflect real performance, integrate multiple data sources, and surface trends before they become crises.
What we deliver:
- • KPI definition aligned to operational goals
- • Multi-source data integration and cleansing
- • Automated reporting and alerting
- • Trend analysis and anomaly detection
Warehouse Workflow Intelligence
Docks get congested, labor gets stretched, and shipments queue. We deploy software that manages inbound scheduling, dock assignments, and labor coordination—automatically.
What we deliver:
- • Inbound shipment scheduling and dock assignment
- • Labor requirement forecasting
- • Live dock and yard visibility
- • Congestion alerts and routing rules
Typical improvement:
Reduce dock dwell time by 15-25%. Eliminate shift-to-shift handoff failures.
Operational Outcomes
Before Implementation
Manual dock scheduling, reactive labor planning, frequent congestion.
After Implementation
Optimized dock utilization, labor matched to demand, proactive congestion management.
Key Metrics We Track
On-time performance
Pickup, departure, and delivery timeliness
Compliance
Paperwork, documentation, regulatory adherence
Quality & Cost
Damage rates, billing accuracy, rate trends
Service Level
Special handling, communication, exception response
Carrier and Lane Performance Management
You manage relationships with dozens of carriers across hundreds of lanes. We build the scorecard that tells you who delivers, who's slipping, and where your cost leverage is.
What we deliver:
- • Multi-dimensional performance scorecards
- • Lane-level carrier comparison
- • Automated exception and trend alerts
- • Renegotiation triggers and insights
Exception Management Automation
Late pickups, temperature excursions, missing documentation—exceptions interrupt operations dozens of times per day. We automate routing, triage, and resolution workflows so your team handles exceptions, not email.
What we deliver:
- • Intelligent exception detection and classification
- • Automated routing to responsible teams
- • Escalation rules and SLA tracking
- • Historical exception analysis and trends
Typical improvement:
Exception resolution time drops 50-70%. Repeat exceptions decrease by 40%+.
Exception Lifecycle
Detect
Real-time monitoring triggers alerts
Classify
AI-assisted categorization and priority
Route
Smart assignment to the right person
Resolve
Workflow tools and escalation
Learn
Capture causes and prevent recurrence
Forecast Inputs
Historical patterns
12-36 months of shipment, labor, and utilization data
External signals
Seasonality, events, promotions, economic indicators
Operational constraints
Capacity ceilings, labor availability, carrier limitations
Forecasting and Capacity Planning
Peak seasons blindside you. Labor costs spiral. Carrier capacity evaporates. We build forecasting models that anticipate demand shifts weeks ahead so you can plan—not panic.
What we deliver:
- • Demand forecasting (weekly, monthly, seasonal)
- • Labor and resource requirement planning
- • Capacity utilization projections
- • "What-if" scenario planning tools
Standard Implementation Timeline
Discover
Map systems, data sources, and operational workflows. Define KPIs and success metrics.
Weeks 1-2
Map
Design data architecture, integration points, and workflow automation.
Weeks 3-4
Configure
Build integrations, set up data pipelines, configure rules and logic.
Weeks 5-8
Pilot
Live testing with select teams. Refine workflows and edge cases.
Weeks 9-10
Improve
Full rollout, ongoing optimization, and continuous improvement.
Weeks 11+
Typical scope: Most implementations complete in 10-14 weeks from discovery to full production. Your timeline depends on data readiness, system complexity, and team availability.
Ready to talk services?
Schedule a conversation with our team. We'll discuss which services fit your operational challenges and timeline.
Book a consultation