IT Services and Software for Transportation and Logistics Companies

Freight forwarders, third-party and fourth-party logistics service providers.

Trucking, air, rail, water, and multi-modal carriers, including last-mile delivery providers.

CEP services providers operating in B2B and B2C segments.

Providers of digital platforms that enable direct interaction between multiple T&L providers and buyers of T&L services.

Companies looking to develop software products for the T&L industry.

Non-T&L companies that need to manage large T&L teams and in-house fleet.

• Automated bookkeeping.
• Consolidation and analysis of financial big data to reveal key T&L cost and revenue drivers.
• AI-powered analysis and trend-based forecasting of operational and strategic T&L expenses; suggestions on spend optimization.
• Calculation of operational and strategic T&L savings.
• Revenue calculation (by period, customer, region, etc.), analysis and forecasting.

• Calculation of transportation cost based on the delivery mode, shipment distance, fuel cost, cargo weight and size, number of stops, etc.
• Automated allocation of transportation costs to individual orders.
• Planning operational expenses based on the analysis of historical spend data, data on customer demand, current fuel and services prices.
• Real-time tracking of operational spend by category (fuel, fleet maintenance, driver payroll, etc.).

• Labor planning (by period, type of activity, region, etc.) based on the analysis of historical data on resource requirements for customer order fulfillment.
• Automated task assignment (for drivers, warehouse staff, etc.) based on the employee availability and operational schedules.
• Real-time labor performance monitoring against pre-defined KPIs.

• Centralized storage of customer-related data (general customer information, interaction history and ongoing activities, etc.).
• Creation, editing, approval, and centralized storage of customer documents (contracts, invoices, etc.).
• Customer claim management.
• Customer portal with self-service capabilities.

• Automated aggregation of customer orders from a customer portal, third-party ecommerce platforms, etc.
• Prioritization of customer orders based on customer value, order date, item category, and more.
• Analytics-based assignment of preferred carriers to customer orders.
• Real-time tracking of customer order fulfillment progress.
• Automated calculation of due amounts and submission of customer invoices.

• Managing RFxs, e-auctions, e-tenders.
• AI-enabled cost-benefit analysis and carrier bid/rate compliance scoring.
• Creation, editing, approval, and centralized storage of carrier contracts and transport orders.
• Automated validation of carrier invoices and submitting them for payment.
• Real-time monitoring of carrier performance against pre-defined KPIs.
• Vendor portal for carrier self-registration and facilitated communication with carriers.

• Automated aggregation, processing, and AI-powered analysis of operational big data (transactional data, transportation process data, fleet data, labor performance data, etc.).
• Scheduled and ad hoc analytical reports.
• Trend-based forecasting of customer demand, fleet utilization, labor utilization, etc.
• What-if scenario modeling and operational risk management.

• AI-powered recommendations on optimal storage conditions for different goods, item putaway and picking routes, type and amount of order packing.
• AR-enabled order picking (pick-by-vision).
• Barcode/RFID-enabled monitoring of warehouse inventory levels.
• AI-powered planning of warehouse labor resources and equipment, operations in yard, loading docks, etc.

• Transportation demand planning.
• AI suggestions on optimal transport modes and vehicles, shipping routes, item consolidation, transportation rates. and more.
• Real-time tracking of transportation progress.
• RFID-enabled monitoring of goods transportation conditions (e.g., temperature, humidity, vibration, etc.).
• ML-powered forecasting of shipping time and estimated time of arrival.
• Creation, editing, approval, and centralized storage of transportation documents (bills of lading, commercial invoices, etc.).
• Automated reverse logistics.

• Template-based creation of fleet schedules and task lists for drivers.
• Real-time tracking of vehicle location, fuel consumption, driver's behavior, tachograph data compliance with applicable regulations (e.g., DOT requirements for the US), and more.
• A mobile application for last mile carriers to enable easy updates on order shipment status.
• Predictive fleet maintenance suggestions powered by IoT and AI technologies.
• Fleet maintenance monitoring in real time and reporting upon completion.

Discover our scoping best practices and learn how we arrange an optimal development team to complete the agreed project tasks. We also share our collaboration planning principles and explain ScienceSoft’s approach to identifying and mitigating risks at early project stages.

Understand the factors and techniques our teams consider to accurately estimate project costs and check our sample top-down and bottom-up estimates. The page also outlines ScienceSoft’s proven practices to reduce development and maintenance costs by 1.5–12x.

Check ScienceSoft’s sample KPIs to evaluate cooperation health and software quality and see examples of project reports we deliver. You can also explore our transparent change request management process and discover the practices our experts rely on to prevent scope creep.

Learn the principles, techniques, and tools we use to foster safe and efficient collaborative knowledge management. We spell out our structured project data sharing flow and show examples of software documents our teams deliver throughout the development life cycle.