Logistics &
Supply Chain
Business Benefits
Proven Business Benefits
Companies adopting Service Hive’s freight optimization solutions experience measurable improvements
0%
Reduction in empty kilometers
0%
Saving fuels cost
0%
Higher margin per trip
0%
Improvement in SLA compliance
Bussiness Challenge
The Business Challenge
Logistics and supply chain providers face constant challenges that impact profitability
Margin are razorMargins are razor-thin, making every kilometer and shipment critical
Seasonal surgesSeasonal surges and volatile demand make accurate forecasting difficult.
Fuel price fluctuationsFuel price fluctuations add cost uncertainty and reduce margins.
Empty miles and underutilizedEmpty miles and underutilized capacity increase per-shipment costs.
Manual or flat-rateManual or flat-rate pricing fails to capture real-time market conditions.
Solutions
Freight Pricing & Route Intelligence
Service Hive’s AI-driven Freight Pricing & Route Intelligence solution helps logistics providers turn cost inefficiencies into profit.
Dynamic Freight Pricing
Prices every shipment based on cargo type, distance, urgency, and backhaul potential.
Capacity optimization
Matches loads intelligently to minimize empty kilometers and maximize utilization.
Predictive Demand Forecasting
Anticipates cargo flow, helping plan routes, staffing, and fleet deployment.
Fueling Strategy Optimization
Cuts fuel costs by combining route planning with live fuel price data.
Data & Integration
Data & Integration
Our solution
Your stack
class AutomationTrigger: def __init__(self, threshold): self.threshold = threshold self.status = "inactive"def check_trigger(self, value): if value > self.threshold: self.status = "active" return "Automation triggered!" else: return "No action taken."def get_status(self): return f"Status: {self.status}"class AutomationTrigger: def __init__(self, threshold): self.threshold = threshold self.status = "inactive"def check_trigger(self, value): if value > self.threshold: self.status = "active" return "Automation triggered!" else: return "No action taken."def get_status(self): return f"Status: {self.status}"How It Works
From Insights to Impact
Our structured approach ensures reliable outcomes from pilot to scale
Discovery
Assess TMS, telematics, and fuel card data to identify cost drivers.
Pilot (6–8 weeks)
Test freight pricing and route optimization across selected corridors.
Scale
Integrate with TMS, dispatch systems, and driver apps for seamless rollout.
Continuous
Generate daily recommendations and apply monthly recalibrations for sustained performance.
KPI
Live KPIs Dashboard
We focus on metrics that matter most for logistics efficiency and profitability
Utilization percentage
87.3%
Empty Return percentage
₹1,240
Fuel cost per K.M.
- 0.65
Gross margin per trip
12.4%
Success Stories
Our Success Stories
Service Hive’s AI freight optimization is already delivering results
We’re not just moving goods.
We’re reshaping supply chains — with
Realtime visibility, smarter routes, and optimized costs.
Smarter Routes
Route heatmaps demonstrate significant reductions in empty miles.
Proven Integrations
Proven integrations with leading TMS providers.
Cost Savings
Pilot clients report double-digit cost savings within months of implementation
Loyal Customers
Personalized offers and loyalty programs increased repeat bookings.
Smarter Revenue
Operators increased yield per trip with AI-powered fare optimization and real-time insights.
Run a free lane profitability test.
Discover how much margin you can recover.