We develop and implement digitized processes with visibility, transparency and track-ability for the transportation industry and make those processes suggest/take intelligent decisions for business efficiency and synergy across internal and external stakeholders.
All this is possible with our exceptional expertise in Data, AI, BPM and IoT with deep insights transportation and logistics industry.
Container Optimization
(Increase Container turns)
Demand / Supply Prediction
Digitized Driver onboarding
Network Optimization
Reduce Empty Miles
Demand Prediction
Smart Matching Engine
(Customer / Carrier)
Dynamic Spot Pricing
Contract Pricing - Network simulation
Smart Containerization
Predict Vessel arrivals/timings
Automated/Digitization of custom clearance documentation
Smart TEU Calculations/Predictions
Advance inspection systems to assess history and cargo type
Predict potential traffic congestion at Ports and Terminals
Optimized Shipment delivery and ETA for global time critical shipments
Track and Trace
Carrier Procurement Pricing Customer Spot Quotations
API Integration with customers, vendors and Market Place
360 view of customers/Suppliers
Risk analytics - network
Big Data and AI platform
Business Insights and Visualization
API Integration with Logistics Market Place
Automate Back-office Operations (RPA's in collections, freight audit, billings HR Process, Supply Chain management)
Call Centre automation
The manual and semi digitized processes and communications between brokerage stakeholders prevent them from booking and executing more orders and taking strategic decisions.
With our AutoSmart data-driven ML model that considers various data inputs from history and live information and customer and carrier side information, you can get customized pricing for loads that can drive carrier rep conversations to close better outcomes.
Brokerage firms lose revenue on long term contracts due to limitation of adhering to contract terms and pricing often buried in the documentation. They leave money on the table where there is scope to convert them for spot pricing once contract terms are fulfilled.
With SmartContract ML-enabled models to read contracts and auto measure the thresholds of committed loads and respective prices, alerts will be generated to the customer support team on price changes with details of threshold information. This maximizes the contract rates and revenues for better profitability.
In brokerage carrier/drivers have difficulty to find loads that suit their preferences like location, timings, duration, SLA's etc.
Our data-driven SmartMatch ML-enabled models provide driver/carrier recommendations to carrier representatives on current loads based on their current locations, estimated ETA's, carrier preferences and performance. This will reduce deadhead miles for carriers, decrease carrier assignment turn around times to carrier representatives, and increase customer satisfaction and carrier satisfaction.