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

xxx@simaxsystems.com

Phone

xxx

Response time: Within 24 business hours

Available for new logistics engagements