Stop Losing Hours to Manual Route Planning and Delivery Tracking Reclaim 25+ Hours Per Week with Custom AI Automation
Last-mile delivery teams waste up to 40 hours weekly on repetitive tasks like proof-of-delivery logging and driver scheduling. Our enterprise-grade AI solutions cut that by 60%, delivering a 3x ROI in the first year through streamlined operations and reduced fuel costs.
Join 150+ businesses with 30% faster delivery cycles
The "Last-Mile Chaos" Problem
Manual route optimization using outdated TMS software leads to inefficient driver paths, deadhead miles, and delayed LTL packages
Paper-based proof-of-delivery (POD) processes cause billing disputes, regulatory compliance headaches, and delayed carrier payments
Fragmented ELD and telematics tracking systems result in lost visibility on fleet status, including HOS violations and asset utilization
Driver scheduling mismatches in WFM systems create overtime costs, HOS non-compliance, and driver burnout in high-volume fleets
Customer inquiry overload from POD discrepancies ties up dispatchers, diverting them from core tasks like load balancing and cross-docking
Inventory mismatches at depots, due to poor RFID or barcode syncing, cause last-minute rerouting chaos and demurrage fees
Custom AI Automation Built for Your Delivery Network
With over a decade engineering AI for logistics giants, we've streamlined operations for 50+ SMB fleets, achieving industry-leading uptime of 99.9%.
Why Choose Us
We craft bespoke AI systems that integrate seamlessly with your TMS, GPS trackers, and warehouse software. No more juggling apps. Our solutions predict delivery windows, automate assignments, and handle real-time adjustments—like rerouting around traffic jams faster than a dispatcher could react. Tailored to your routes, volume, and urban challenges, these aren't off-the-shelf tools; they're production-ready engines designed to own your workflow.
What Makes Us Different:
Quantifiable Gains for Your Bottom Line
Slash Scheduling Time by 25 Hours Weekly
Slash Scheduling Time by 25 Hours Weekly: Our AI integrates with your TMS to analyze real-time traffic patterns via APIs like Google Maps, driver availability from ELDs, and package urgency based on SLA deadlines to auto-assign optimized routes. Delivery firms using our systems report 35% fewer delays in urban LTL operations, turning chaotic mornings into predictable starts with dynamic load factoring. This boosts on-time delivery (OTD) rates to 95%, directly lifting customer satisfaction scores and reducing churn in competitive e-commerce fulfillment.
Cut Fuel and Overtime Costs by 22%
Cut Fuel and Overtime Costs by 22%: Real-time route optimization using GPS telematics avoids deadhead miles and overtime spikes from HOS violations. One mid-sized trucking client reduced empty backhauls by 40% on regional routes, saving $15K monthly on diesel fuel alone amid fluctuating oil prices. Efficiency gains compound, freeing drivers for more revenue-generating runs and expanding your capacity without hiring additional CDL-A drivers.
Boost Productivity with 50% Fewer Errors
Boost Productivity with 50% Fewer Errors: Automated proof-of-delivery via mobile AI apps captures e-signatures, geo-tagged photos, and barcode scans, syncing instantly to your CRM and ERP systems. This eliminates manual entry disputes, which plague 70% of last-mile ops per ATRI benchmarks, including exceptions in parcel auditing. Your team focuses on deliveries, not paperwork, accelerating invoice closeout by 3-5 days and improving DSO (Days Sales Outstanding) metrics.
What Clients Say
"Before AIQ Labs, our dispatchers spent mornings untangling route messes from overnight LTL orders in our legacy TMS. Now, the system auto-optimizes with real-time traffic data, and we've dropped our average delivery time from 2.5 to 1.8 hours per stop. Saved us about 20 hours a week on scheduling, no exaggeration, letting us handle 15% more volume without extra staff."
Marcus Hale
Operations Manager, SwiftLink Deliveries (Regional LTL Carrier)
"Integrated their AI with our Garmin ELDs and Oracle TMS in under a month. Proof-of-delivery issues that used to spark daily customer calls over POD exceptions? Gone. We're at 98% accuracy now for geo-verified deliveries, and fuel costs dropped 18% last quarter thanks to optimized backhauls. It's like having an extra dispatcher who never sleeps, especially during peak holiday surges."
Elena Vasquez
Fleet Director, UrbanHaul Logistics (Urban Last-Mile Provider)
"We handle 500 parcels daily in a congested metro area with frequent traffic snarls. Their custom AI reroutes on the fly for traffic or weather alerts via integrated weather APIs, cutting delays by half and avoiding HOS violations. ROI hit in four months—over $25K saved on overtime and demurrage fees at our cross-dock facilities. Finally, tech that fits our workflow, not the other way around."
Raj Patel
CEO, MetroExpress Couriers (Metro-Area Parcel Service)
Simple 3-Step Process
Discovery and Mapping
We audit your current delivery workflows, from depot loading to final drop-off, identifying bottlenecks like manual logging or siloed tracking data. This tailored assessment ensures our AI aligns perfectly with your daily routes and challenges.
Custom AI Design and Build
Our engineers develop your unified system, integrating AI for route prediction, driver assignment, and real-time updates. We train models on your data for accuracy, creating a scalable asset you own—no subscriptions or fragile links.
Deployment and Optimization
Roll out across your fleet with minimal disruption, followed by performance tuning based on live data. Expect 20-30% efficiency gains in week one, with ongoing support to refine for peak seasons or volume spikes.
Why We're Different
What's Included
Common Questions
How does your AI handle variable delivery volumes during peak seasons?
Our custom AI models are trained on your historical data, including past peak periods like holidays or sales events, to forecast and adapt routes dynamically. For instance, if volumes spike 50%, the system auto-scales assignments and suggests temporary depot shifts. We've helped clients like urban couriers maintain 92% on-time rates during Black Friday rushes, reducing manual overrides by 70%. Integration with your TMS ensures seamless scaling without added costs, and we include buffer testing in deployment to simulate surges.
What integrations do you support for last-mile tracking systems?
We specialize in deep, two-way integrations with popular TMS platforms like Oracle Transportation Management, Manhattan Associates, or even custom in-house systems. For GPS, we connect to providers such as Samsara or Verizon Connect, pulling real-time location data into a unified view. No superficial links—our APIs handle bidirectional sync for updates like ETA changes. A recent project for a regional fleet integrated three legacy systems in two weeks, cutting data silos and saving 15 hours weekly on manual checks. We map your exact tech stack during discovery.
How secure is the AI for handling sensitive delivery data?
Security is non-negotiable in logistics, so we build with enterprise-grade encryption, SOC 2 compliance, and role-based access controls. Customer addresses and driver info are anonymized where possible, with audit logs for every access. For proof-of-delivery, data is encrypted end-to-end from mobile capture to storage. We've audited systems for GDPR and CCPA adherence, preventing breaches that cost the industry $4.5M annually per Deloitte stats. Your data stays in your owned system, not scattered across third-party clouds.
What's the typical timeline for implementing this automation?
For most last-mile operations, we deliver a MVP in 4-6 weeks, starting with core features like route optimization and tracking. Full deployment, including custom dashboards and mobile apps, takes 8-12 weeks, depending on your current setup complexity. We phased-rollout to minimize disruption—piloting on 20% of your fleet first. One client went live across 150 drivers in 10 weeks, achieving 25% time savings immediately. Post-launch, we optimize for 30 days to hit peak efficiency.
Can this AI reduce our reliance on third-party delivery apps?
Absolutely—our solutions replace fragmented apps with a single, owned platform that handles routing, tracking, and customer comms internally. We can even migrate data from apps like Onfleet or Route4Me, consolidating into your custom AI. This cuts subscription fees by 40-60% for many clients while improving control. A mid-sized courier ditched three apps post-implementation, saving $8K yearly and boosting data accuracy to 99%. It's built for your workflows, not generic templates.
How do you measure ROI for our delivery operations?
We track tangible metrics like hours saved on dispatch (target: 20-30/week), fuel reduction (15-25%), and on-time delivery uplift (to 95%). Pre- and post-audits quantify these, with benchmarks against industry averages—last-mile ops typically see 3x ROI in year one per McKinsey logistics reports. For example, we dashboard fuel savings, error rates, and throughput gains. Clients access real-time ROI calculators, and we guarantee efficiency benchmarks or refine at no extra cost.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.