Logistics Data Chaos Solved with Real-Time Shipment Visibility

Transform fragmented TMS, WMS, and GPS data into unified supply chain intelligence and operational excellence.

Does This Sound Familiar?

SHIPMENT VISIBILITY BLACK HOLE

Can you see real-time location of all 500 trucks? Which shipments are delayed? Which routes are underperforming?

Most logistics firms:

Call drivers, check manually, lag hours/days.

With Simax EDW:

Live GPS tracking, unified dashboard, instant alerts.

WAREHOUSE EFFICIENCY GUESSWORK

What's your actual warehouse utilization? Which SKUs slow down picking? Which locations have capacity constraints?

Most logistics firms:

Manual audits, quarterly reviews, reactive.

With Simax EDW:

Real-time WMS analytics, proactive optimization.

FREIGHT COST MYSTERY

Are you paying optimal rates? Which lanes are most profitable? Where are hidden costs (detention, demurrage, fuel surcharges)?

Most logistics firms:

Invoices in Excel, limited visibility, overpaying.

With Simax EDW:

Cost per shipment analytics, margin by lane/customer.

ON-TIME DELIVERY BLIND SPOTS

What's your true OTIF (On-Time In-Full) rate by customer? Which drivers/routes excel? Which have chronic delays?

Most logistics firms:

Anecdotal, complaint-driven, lagging.

With Simax EDW:

Automated OTIF tracking, root cause analysis.

The cost isn't just operational inefficiency. It's lost customers (5-10% churn from poor OTIF), excess freight costs (8-12% overspend), and the inability to scale profitably.

What Logistics Data Fragmentation Costs You

METRICBEFORE EDWAFTER EDWIMPACT
Shipment Visibility2-4 hour lagReal-timeInstant
OTIF (On-Time In-Full) Rate75-80%92-95%20% ↑
Freight Cost per Ton-KM₹8.50₹7.2015% ↓
Warehouse Utilization65%85%30% ↑
Manual Reporting Hours/Week40 hours4 hours90% ↓
Empty Miles %25%12%50% ↓

ROI Example

For a logistics company with ₹300 crore annual revenue:

Reducing freight costs by 15% = ₹45 crore annual savings

Improving warehouse utilization = ₹15 crore capacity gained

Time saved on reporting = 36 hours/week = 5 FTE equivalent

Typical EDW payback period: 12-16 months

Our Logistics-Specific EDW Solution

1. REAL-TIME SHIPMENT TRACKING HUB

What We Build:

  • •Live GPS integration (all vehicles)
  • •Shipment status automation (picked up, in-transit, delivered)
  • •Geofence alerts (arrival/departure from hubs)
  • •ETA prediction (ML-based)
  • •Route deviation alerts

Data Sources Integrated:

GPS/telematics systems (Fleet Complete, Samsara, custom), Transport Management System (TMS), Warehouse Management System (WMS), Customer order systems

2. WAREHOUSE OPERATIONS ANALYTICS

What We Build:

  • •Warehouse utilization tracking (space, labor)
  • •SKU velocity analysis (fast/slow movers)
  • •Picking efficiency metrics (orders per hour)
  • •Dock door utilization
  • •Inventory aging & stockout alerts

Insights Delivered:

Which warehouses are over/underutilized, Which SKUs slow down operations, Labor productivity by shift/team, Optimal replenishment strategies

3. FREIGHT COST & MARGIN OPTIMIZATION

What We Build:

  • •Cost per shipment analysis (by lane, customer, mode)
  • •Carrier performance scorecards
  • •Accessorial charge tracking (detention, fuel, tolls)
  • •Lane profitability analysis
  • •Empty miles reduction opportunities

Financial Impact:

Negotiate better carrier rates (data-backed), Eliminate hidden costs, Improve load consolidation, Optimize route planning

4. ON-TIME DELIVERY & CUSTOMER SLA TRACKING

What We Build:

  • •OTIF (On-Time In-Full) dashboards by customer
  • •Delivery window compliance tracking
  • •Root cause analysis (delays by reason)
  • •Driver/route performance scorecards
  • •Customer satisfaction metrics

Insights Delivered:

Which customers have chronic delays, Which routes/drivers need intervention, Impact of weather/traffic on OTIF, Proactive exception management

Role-Specific Intelligence for Every Stakeholder

Purpose-built dashboards for every decision-maker in your logistics organisation.

Dashboard 1

CEO / CFO Dashboard

Executive-level visibility into revenue performance, fleet utilisation, OTIF trends, and lane profitability.

Revenue & Profitability by Lane/Customer
Fleet Utilization & Empty Miles
OTIF Performance & Customer Satisfaction
Cost per Shipment & Margin
CEO / CFO Executive Dashboard₹312CrRevenue82%Fleet Util.93%OTIF Rate12%Empty MilesOTIF Rate Trend (%)JulAugSepOctNovDecJanRevenue by Lane (₹Cr)Mum–Del140Del–Blr115Hyd–Che95Pune–Kol78Blr–Hyd62Fleet Utilisation82%UtilisedCost per Ton-KM₹7.20↓15% vs last quarterEmpty Miles %12%↓50% improvement
Dashboard 2

Operations / Dispatch Dashboard

Live fleet visibility, shipment status tracking, driver performance, and route efficiency in real time.

Shipment Status & ETA Accuracy
Driver Availability & Performance
Route Efficiency & Fuel Costs
Exception Management
Operations / Dispatch DashboardLive Fleet Map — GPS TrackingOn-timeDelayedAt-riskShipments In-TransitSHP-1042On-TimeETA 14:30SHP-1038DelayedETA 17:15SHP-1055On-TimeETA 15:00SHP-1061At-RiskETA 16:45SHP-1029On-TimeETA 13:50SHP-1073DelayedETA 18:00Driver Performance LeaderboardRajan K.96Suresh M.91Priya V.88Amit D.84Neha S.79Fuel Consumption Trend (L/100km)JulAugSepOctNovDecJan
Dashboard 3

Warehouse / Fulfillment Dashboard

Complete warehouse intelligence: capacity, SKU velocity, picking accuracy, and dock utilisation heatmap.

Warehouse Space & Labor Utilization
SKU Turnover & Inventory Health
Picking & Packing Efficiency
Dock Productivity
Warehouse / Fulfillment DashboardCapacity Utilisation85%UtilisedPicking Accuracy98.5%Labor Productivity42 ord/hInbound / Outbound VolumesJulAugSepOctNovDecJanInboundOutboundDock Utilisation6amD19am12pm3pm6pmD2D3D4SKU Velocity (Fast / Slow Movers)SKU-ASKU-BSKU-CSKU-DSKU-ESKU-FFastMediumSlow

Scalable Architecture for High-Volume Logistics Data

Best-in-class technology stack purpose-built for real-time GPS streaming and freight analytics.

Data Integration

•GPS/telematics APIs (real-time location tracking)

•TMS & WMS connectors (SAP TM, Oracle WMS, Blue Yonder)

•Fuel card transaction feeds

•Customer EDI integrations

•Weather & traffic data enrichment

Recommended Stack

Cloud:AWS or Google Cloud (GPS streaming)
Warehouse:Snowflake or BigQuery
ETL:Fivetran or Azure Data Factory
BI:Tableau or Power BI (geospatial)
Analytics:dbt (freight cost modeling)

Technology Partners

awsAmazon Web Services

Cloud

Google Cloud

Cloud

❄SnowflakeData Warehouse

Data Warehouse

BigQuery

Data Warehouse

Azure Data Factory

ETL

fivetran

ETL

Power BI

BI

Tableau

BI

dbt

Analytics

How We Implement EDW for Logistics Companies

A structured, proven process from assessment to full adoption.

Phase 01

Logistics Assessment

2–3 weeks
  • ✓Audit TMS, WMS, GPS & carrier systems
  • ✓Stakeholder interviews
  • ✓Map shipment lifecycle & KPIs

Deliverable

EDW Blueprint

Phase 02

Architecture

3 weeks
  • ✓Design real-time GPS integration
  • ✓Plan freight cost data model
  • ✓Define reporting hierarchies

Deliverable

Logistics Architecture

Phase 03

Build

10–14 weeks
  • ✓Integrate GPS/telematics systems
  • ✓Connect TMS & WMS platforms
  • ✓Build freight cost analytics engine

Deliverable

Production EDW

Phase 04

Dashboards

4–6 weeks
  • ✓CEO/CFO executive dashboard
  • ✓Operations/dispatch dashboard
  • ✓Warehouse/fulfillment views

Deliverable

Role-Based Analytics

Phase 05

Training & Support

Ongoing
  • ✓Dispatch, warehouse & finance training
  • ✓Documentation & playbooks
  • ✓24/7 technical support

Deliverable

Continuous Improvement

Ready to Transform Your Logistics Data Architecture?

Schedule a logistics-specific assessment call.

We'll discuss:

  • ✓Your shipment visibility challenges
  • ✓Warehouse utilization opportunities
  • ✓Freight cost optimization needs
  • ✓Expected ROI for your fleet size

30 minutes. Zero commitment.

Direct Contact

Email

contact@simaxsystems.com

Phone

xxx

Response time: Within 24 business hours

Available for new logistics engagements