Logistics & Supply Chain Solutions
Transforming industries with innovative technology solutions
We provide innovative technology solutions tailored specifically for the logistics & supply chain solutions industry, helping businesses optimize operations and drive growth.
Logistics & Supply Chain: Digital Transformation for Operational Excellence
The global logistics and supply chain industry undergoes rapid digital transformation driven by e-commerce growth, customer delivery expectations, sustainability pressures, and technology innovation. Big0 delivers comprehensive solutions enabling logistics providers, third-party logistics (3PLs), freight forwarders, shippers, retailers, and supply chain technology companies to optimize operations, enhance visibility, reduce costs, and improve customer service.
From traditional logistics companies modernizing legacy systems to e-commerce retailers building sophisticated fulfillment networks, we provide end-to-end capabilities spanning strategy, architecture, development, integration, and continuous optimization. Our logistics technology expertise encompasses transportation management, warehouse operations, inventory optimization, last-mile delivery, freight management, and end-to-end supply chain visibility across industries.
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Get Started TodayLogistics & Supply Chain Challenges
Visibility & Transparency Gaps
Limited End-to-End Visibility Supply chains spanning multiple countries, carriers, modes, and partners lack comprehensive visibility. Shippers cannot track shipments in real-time across ocean, rail, truck, and last-mile segments. Information gaps between systems (TMS, WMS, ERP, carrier systems) prevent unified views. Manual status updates via phone calls and emails provide delayed, inaccurate information. Lack of visibility causes reactive firefighting, customer service issues, and inventory planning problems.
Fragmented Data & Systems Logistics operations utilize dozens of disconnected systems including transportation management (TMS), warehouse management (WMS), order management (OMS), inventory management, yard management, dock scheduling, carrier portals, and customer systems. Data silos prevent comprehensive analytics, automated decision-making, and process optimization. Manual data entry between systems introduces errors and delays. Integration complexity with hundreds of carriers and partners limits automation potential.
Poor Demand Forecasting Inaccurate demand forecasts create inventory imbalances including stockouts losing sales and overstocks tying up capital. Traditional forecasting relies on historical averages ignoring external factors (weather, events, trends, market conditions). Long lead times from overseas manufacturing amplify forecast errors. Lack of real-time demand signals from point-of-sale and customer systems prevents responsive replenishment.
Operational Inefficiencies
Inefficient Route Planning Manual route planning or basic optimization software creates suboptimal routes wasting fuel, increasing delivery times, and reducing vehicle utilization. Static routes cannot adapt to real-time conditions including traffic, weather, road closures, and urgent orders. Poor load planning results in partial loads increasing costs. Lack of delivery time windows frustrates customers with all-day waiting.
Warehouse Labor Constraints Warehouse operations face chronic labor shortages, high turnover (40-60% annually), seasonal demand spikes, and increasing labor costs. Manual picking operations achieve 60-100 picks per hour versus 200-400 with automation. Training new workers requires 2-4 weeks impacting productivity. Peak season hiring challenges delay order fulfillment. Physical demands cause injury rates of 5-7 per 100 workers annually.
High Transportation Costs Freight transportation represents 40-60% of logistics costs with rising fuel prices, driver shortages, capacity constraints, and regulatory compliance increasing expenses. Empty backhaul miles (20-30% of fleet miles) waste fuel and capacity. Poor load consolidation results in less-than-truckload (LTL) premium pricing. Expedited shipping for stockouts costs 3-5x standard rates.
Inventory Imbalances Excess inventory ties up working capital (30-50% of current assets), incurs carrying costs (20-30% of inventory value annually), and risks obsolescence. Stock-outs cost retailers 4-8% of sales. Safety stock buffers protect against uncertainty but inflate inventory levels. Poor inventory visibility across network (warehouses, stores, in-transit) prevents efficient allocation.
Customer Experience Pressure
Rising Delivery Expectations E-commerce giants (Amazon, Alibaba) set customer expectations for free 1-2 day delivery creating competitive pressure. Traditional 5-7 day delivery times lose customers. Real-time delivery tracking is expected standard. Flexible delivery options (evening, weekend, pickup points) required. Failed deliveries due to absence frustrate customers. Returns processing complexity impacts satisfaction.
Last-Mile Delivery Challenges Last-mile delivery represents 40-50% of total logistics costs due to low package density, residential delivery complexity, and failed delivery attempts. Urban congestion increases delivery times. Driver shortages limit capacity. Proof of delivery requirements add complexity. Sustainable delivery pressures (emissions reduction, electric vehicles) add costs.
Omnichannel Fulfillment Complexity Retailers must fulfill orders from stores, warehouses, drop-ship vendors, and third-party fulfillment creating complex orchestration. Inventory visibility across all nodes prevents overselling. Buy-online-pickup-in-store (BOPIS) requires store fulfillment capability. Ship-from-store requires picking from sales floor. Returns to any channel add complexity.
Logistics Technology Solutions
Transportation Management Systems (TMS)
Comprehensive TMS Platforms Modern cloud-based TMS solutions optimize end-to-end transportation operations:
Core Capabilities: - Load planning and optimization maximizing trailer utilization - Multi-mode carrier selection (truckload, LTL, rail, ocean, air, parcel) - Automated tendering and booking with carriers - Real-time shipment tracking and visibility - Freight audit and payment processing - Performance analytics and carrier scorecards - Customer portal for shipment status and documents - Mobile apps for drivers and dispatchers
Route Optimization AI-powered route planning considering: - Delivery time windows and appointment constraints - Vehicle capacity and load characteristics - Driver hours-of-service regulations - Real-time traffic and weather conditions - Historical delivery performance data - Customer preferences and access restrictions - Fuel costs and emission optimization
Benefits: 15-30% reduction in transportation costs, 20-35% improvement in on-time delivery, 25-40% decrease in planning time, 30-50% increase in vehicle utilization, and 15-25% reduction in fuel consumption.
Warehouse Management Systems (WMS)
Advanced WMS Solutions Modern warehouse management systems orchestrate all warehouse activities:
Receiving & Putaway - Barcode/RFID scanning for accuracy - Automated putaway location determination - Quality control and inspection workflows - Cross-docking for fast-moving items - License plate tracking for lot control
Inventory Management - Real-time inventory visibility by location, lot, serial number - Cycle counting and inventory accuracy programs - First-in-first-out (FIFO) and expiration date management - Kitting and assembly operations - Inventory allocation and wave planning
Order Fulfillment - Multi-modal picking (piece, case, pallet) - Pick path optimization reducing travel time - Pick-to-light and voice-directed picking - Quality checks and packing optimization - Shipping label generation and manifest creation - Carrier integration and tracking
Labor Management - Task assignment and workload balancing - Performance tracking and gamification - Labor forecasting and scheduling - Productivity incentive programs
Benefits: 25-40% improvement in order accuracy (99.5%+ vs 95-97%), 30-50% increase in picking productivity, 20-35% reduction in labor costs, 15-25% improvement in space utilization, and 99.9% inventory accuracy.
Fleet Management & Telematics
IoT-Powered Fleet Operations Connected vehicle technology transforms fleet management:
Vehicle Tracking & Monitoring - Real-time GPS location tracking - Geofencing and route adherence monitoring - Speed monitoring and driver behavior scoring - Fuel consumption tracking and optimization - Engine diagnostics and fault code detection - Maintenance scheduling and predictive alerts
Driver Management - Hours-of-service (HOS) compliance and ELD - Driver behavior monitoring (harsh braking, acceleration, cornering) - Driver safety programs and coaching - Driver performance scorecards - Mobile apps for communication and proof of delivery
Asset Utilization - Trailer tracking preventing loss - Reefer (refrigerated trailer) temperature monitoring - Door open/close monitoring - Loading/unloading time tracking - Asset allocation optimization
Benefits: 20-30% reduction in fuel costs, 25-40% decrease in vehicle maintenance costs, 15-25% improvement in driver safety, 30-50% reduction in idle time, and 10-20% increase in fleet utilization.
Supply Chain Visibility Platforms
End-to-End Transparency Real-time visibility platforms provide comprehensive shipment tracking:
Multi-Modal Tracking - Container tracking across ocean, rail, truck - Parcel tracking from all major carriers - Air freight tracking and estimated arrival - Integration with carrier APIs for real-time updates - Geolocation tracking for precise locations - Milestone notifications (departed port, cleared customs, out for delivery)
Predictive ETAs Machine learning algorithms predict accurate delivery times: - Historical performance data analysis - Weather and traffic impact modeling - Carrier performance patterns - Port congestion and customs delays - Rolling ETAs updating as conditions change
Exception Management - Automated alerts for delays and disruptions - Root cause analysis for issues - Alternative routing recommendations - Customer notification automation - Escalation workflows for critical shipments
Benefits: 40-60% reduction in "where is my order?" inquiries, 25-40% improvement in on-time delivery performance, 30-50% faster issue resolution, and 15-25% reduction in expedited freight costs.
Warehouse Automation & Robotics
Automated Material Handling Robotics and automation dramatically increase warehouse throughput:
Goods-to-Person Systems - Automated storage and retrieval systems (AS/RS) - Vertical lift modules (VLMs) maximizing space - Robotic shuttle systems - Autonomous mobile robots (AMRs) bringing items to pickers - Conveyor systems for sorting and routing
Picking Automation - Robotic picking arms for case picking - Collaborative robots (cobots) assisting pickers - Automated carton erectors and sealers - Automated labeling and manifesting - Sortation systems routing to shipping lanes
Benefits: 2-4x increase in throughput, 40-60% reduction in labor requirements, 99.9%+ accuracy rates, 50-70% reduction in order cycle times, and 30-50% increase in storage density.
AI-Powered Optimization
Intelligent Decision Systems AI and machine learning optimize complex logistics decisions:
Demand Forecasting - Time series analysis of historical demand - Promotional and seasonal pattern detection - External factor integration (weather, events, economics) - SKU-level granular forecasting - New product forecasting - Multi-echelon inventory optimization
Dynamic Pricing - Real-time freight rate optimization - Demand-based pricing for capacity - Competitive pricing intelligence - Margin optimization algorithms - Customer-specific pricing strategies
Network Optimization - Distribution center location optimization - Inventory allocation across network - Transportation lane analysis - Make vs buy vs outsource decisions - Carbon footprint optimization
Benefits: 15-30% improvement in forecast accuracy, 20-35% reduction in inventory levels, 10-20% increase in revenue through optimized pricing, and 15-25% reduction in network costs.
Blockchain for Supply Chain Traceability
Distributed Ledger Technology Blockchain provides immutable, transparent supply chain records:
Track & Trace - Product journey from source to consumer - Custody chain for high-value goods - Temperature and condition monitoring - Authenticity verification preventing counterfeits - Recall management with precise lot tracking - Sustainability and ethical sourcing proof
Smart Contracts - Automated payment upon delivery confirmation - Compliance verification at borders - Quality assurance checkpoints - Insurance claims automation - Supplier performance penalties and bonuses
Use Cases: - Food supply chains ensuring safety and origin - Pharmaceutical cold chain integrity - Luxury goods authentication - Conflict-free mineral certification - Sustainable sourcing verification - Cross-border trade documentation
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Get Started TodayIndustry-Specific Solutions
E-Commerce & Retail
Order Fulfillment - Multi-channel order management - Distributed inventory across fulfillment network - Same-day and next-day delivery optimization - Returns processing and reverse logistics - Drop-ship integration with suppliers
Last-Mile Delivery - Route optimization for dense urban areas - Delivery time slot scheduling - Real-time customer notifications - Proof of delivery with photos - Failed delivery exception handling - Alternative delivery locations (lockers, pickup points)
Third-Party Logistics (3PL)
Multi-Client Operations - Tenant management and billing - Client-specific workflows and requirements - Inventory segregation and tracking - Performance reporting and SLAs - Value-added services (kitting, labeling, quality inspection)
Freight Brokerage - Load board integration - Carrier management and vetting - Automated tender and booking - Freight matching algorithms - Margin optimization
Manufacturing & Distribution
Inbound Logistics - Supplier collaboration portals - Purchase order management and ASN processing - Raw material tracking and lot control - Kanban and just-in-time replenishment - Vendor-managed inventory (VMI)
Production Logistics - Material requirements planning (MRP) integration - Work-in-process tracking - Assembly line feeding and sequencing - Quality control integration - Finished goods allocation
Food & Beverage
Cold Chain Management - Temperature monitoring throughout supply chain - HACCP compliance and documentation - First-expired-first-out (FEFO) management - Shelf-life tracking and expiration alerts - Recall management by lot and batch
Food Safety - Farm-to-fork traceability - Supplier certifications and audits - Quality inspection workflows - Allergen tracking and labeling - Regulatory compliance (FDA, USDA, FSMA)
Technology Stack for Logistics
Cloud Infrastructure
- Scalable computing for peak seasons
- Global deployment for international operations
- 99.95%+ availability for mission-critical systems
- Disaster recovery and business continuity
- Cost optimization through usage-based pricing
IoT & Sensors
- GPS/cellular trackers for vehicles and shipments
- RFID and barcode scanning for inventory
- Temperature and humidity sensors for sensitive goods
- Weight and dimension sensors for dimensional pricing
- Telematics devices for fleet management
- Dock door sensors for yard management
Mobile Applications
- Driver apps for dispatch, navigation, POD
- Warehouse picker apps for picking and cycle counting
- Supervisor apps for task management
- Customer apps for tracking and delivery scheduling
- Offline capability for areas with poor connectivity
Integration & APIs
- ERP integration (SAP, Oracle, Microsoft Dynamics, NetSuite)
- E-commerce platform integration (Shopify, Magento, Amazon, eBay)
- Carrier API integrations (FedEx, UPS, DHL, regional carriers)
- Mapping and routing APIs (Google Maps, HERE, Mapbox)
- Payment processing integration
- EDI for electronic data interchange with partners
Success Metrics & ROI
Logistics technology delivers quantifiable business impact:
Cost Reduction - 15-30% reduction in transportation costs - 20-35% decrease in warehouse labor costs - 25-40% reduction in inventory carrying costs - 10-20% decrease in fuel consumption - 30-50% reduction in expedited freight
Operational Efficiency - 25-40% improvement in order accuracy (to 99.5%+) - 30-50% increase in picking productivity - 20-35% improvement in on-time delivery - 40-60% reduction in order cycle time - 15-25% increase in fleet/warehouse utilization
Customer Satisfaction - 30-50% reduction in customer service inquiries - 25-40% improvement in delivery time windows met - 20-35% increase in customer satisfaction scores - 40-60% reduction in failed deliveries - 15-25% improvement in retention rates
Frequently Asked Questions
Logistics software costs vary widely by solution type, company size, and complexity. Cloud-based TMS solutions range from $50K-$500K for implementation plus $20K-$200K annual subscriptions depending on shipment volumes. WMS implementations cost $200K-$2M for mid-market warehouses (100K-500K sq ft) and $2M-$10M+ for large automated facilities (500K+ sq ft). Fleet management systems cost $30-$60 per vehicle monthly plus $10K-$100K setup. Total implementation timelines span 3-18 months with WMS taking longest due to complexity. ROI typically achieves payback in 18-36 months through operational savings. SaaS models reduce upfront costs with monthly per-transaction or per-user fees making solutions accessible to smaller companies.
Yes, cloud-based SaaS solutions democratize logistics technology access. Modern platforms offer pay-as-you-go pricing starting at $500-$2,000/month for small operations (10-50 employees, 50K-200K sq ft warehouse, 20-50 vehicles) scaling as businesses grow. Vertical-specific solutions for freight brokers, 3PLs, courier services, and specialized carriers provide targeted capabilities at affordable prices. Free trials and pilot programs allow risk-free evaluation. Implementation services from $10K-$50K fit small business budgets. Integration with existing systems (QuickBooks, Excel, basic WMS) preserves prior investments. ROI for small companies often faster than large enterprises due to higher manual labor ratios and operational inefficiencies, achieving payback in 12-24 months.
WMS implementation timelines range from 3-18 months depending on warehouse size, complexity, and automation level. Small warehouses (50K-100K sq ft) with basic operations implement in 3-6 months. Mid-size facilities (100K-300K sq ft) with standard WMS require 6-12 months. Large complex warehouses (300K+ sq ft) with automation and multiple operations need 12-18+ months. Implementation phases include requirements (4-8 weeks), solution design (6-10 weeks), configuration (8-16 weeks), testing (6-12 weeks), training (4-8 weeks), go-live cutover (1-2 weeks), and stabilization (4-8 weeks). Phased rollouts starting with receiving or shipping modules reduce risk. Parallel running validates accuracy before full cutover. Post-go-live optimization continues 3-6 months tuning workflows and training users.
Fleet telematics delivers ROI of 200-400% with 6-18 month payback periods. Benefits include 20-30% fuel savings ($1,500-$3,000 per vehicle annually) through reduced idling, optimal routing, and driver behavior improvement. Maintenance cost reduction of 25-40% ($800-$1,500 per vehicle) through predictive maintenance preventing breakdowns and extending asset life. Insurance premium reductions of 10-20% ($500-$1,000 per vehicle) from improved safety records and driver monitoring. Utilization improvements of 10-20% enable fleet reduction or revenue increase without adding vehicles. For 50-vehicle fleet spending $500K annually on fuel and $200K on maintenance, telematics costing $2,000 per vehicle ($100K total) saves $100K-$150K annually achieving payback in 8-12 months with 100-150% first-year ROI.
AI-powered route optimization improves traditional routing 20-40% through machine learning algorithms considering hundreds of variables impossible for manual planning or basic software. AI analyzes historical delivery performance, traffic patterns by time/day/season, weather impacts, customer time window adherence, driver skills and preferences, vehicle characteristics, and real-time conditions. Dynamic rerouting adapts to accidents, weather, urgent orders, and driver availability throughout the day. Machine learning continuously improves predictions as more data accumulates. Benefits include 15-30% reduction in miles driven, 25-40% improvement in delivery time window compliance, 20-35% increase in stops per route, and 10-20% reduction in overtime. AI handles complex constraints (multiple delivery time windows, pickup and delivery combinations, vehicle capacity variations, driver certifications) that overwhelm human planners.
Dark stores are retail locations converted to fulfillment-only centers without customers, optimized for rapid order picking and delivery. E-grocery retailers and instant delivery services use dark stores for same-day and 1-hour delivery. Layout optimizes picker efficiency rather than customer browsing with organized aisles, batch picking areas, and staging zones. Micro-fulfillment centers (10K-20K sq ft) serve urban areas with limited range (3-5 mile radius) but fast delivery (15-60 minutes). Automated solutions including goods-to-person systems, vertical lift modules, and sortation increase throughput. Benefits include 2-3x faster picking than store-based fulfillment, 40-60% lower labor costs, 25-40% improvement in order accuracy, and customer experience separation from operational challenges. Challenges include real estate costs in urban locations, limited product range (5K-15K SKUs vs 30K-50K full stores), and minimal basket size economies requiring high order density.
Blockchain improves supply chain transparency for specific use cases but isn't universal solution. Blockchain excels when multiple parties (suppliers, manufacturers, logistics providers, retailers, consumers) need shared, immutable records without central authority. Benefits include product authenticity verification preventing counterfeits (luxury goods, pharmaceuticals), ethical sourcing proof (conflict-free diamonds, sustainable seafood, fair-trade coffee), recall precision identifying exact affected products, and food safety traceability (farm to fork). Limitations include adoption challenges requiring all supply chain participants implementing blockchain, scalability concerns for high-transaction-volume supply chains, integration complexity with existing systems, and questionable value when central database suffices. Blockchain projects often fail due to these barriers. Optimal applications involve high-value goods, complex multi-party supply chains, authenticity/provenance importance, and regulatory requirements for traceability. Pilot projects before enterprise-wide deployment recommended.
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