Every logistics operator faces the same structural pressures, whether freight, parcel, or last-mile. Here are the six we see in almost every engagement.
Logistics software has exactly one measure that matters: does it work on Tuesday afternoon in real traffic, in rural dead zones, during peak season, with real drivers in real vehicles. Route optimization that looks good in a simulator but falls apart on actual roads. Driver apps that drain battery before lunch. Tracking systems that lose GPS in urban canyons. We’ve seen all of it.
Mpiric has spent over a decade building for logistics operators carriers, shippers, digital freight brokers, last-mile specialists, fleet operators, and freight forwarders across 20 countries. We’ve shipped TMS and WMS platforms, route optimization engines, driver apps running on a thousand-vehicle fleet, and customer tracking portals that reduced WISMO calls by forty percent.
Our discipline is operational reality. We build for the conditions that kill software in the field connectivity gaps, rugged devices, shift changes, weather events, peak volume spikes and treat those realities as architecture requirements rather than edge cases. That’s why our logistics systems keep running when others stop working.
Every kilometer and load factor point matters, and rising operational costs rarely get matched by rising rates.
Operators still making routing decisions without actually knowing where half their fleet is located at any given moment.
Driver turnover is expensive and the tools they use every day are a major retention factor across the entire industry.
B2C expectations of Amazon-grade tracking have pushed directly into B2B logistics, raising the bar everywhere at once.
Samsara, Geotab, Motive, and legacy hardware each speaking different data formats, making unified visibility harder.
Claims, damages, delays, and chargebacks consuming operations team capacity without clear systematic resolution today.
Solving logistics problems needs engineering that respects real operational reality. Here are the six outcome-focused solutions we deliver most often today.
Order management, carrier selection, execution, and settlement engineered for carriers and shippers at scale.
Dynamic routing, load optimization, and accurate delivery promises running in production on real traffic data.
Mobile apps for every edge of your logistics operation, built offline-first with real connectivity resilience.
Branded tracking portals and booking platforms that measurably reduce inbound WISMO support volume at scale.
Vehicle data, driver behavior, predictive maintenance, and unified views across different telematics vendors.
B2B marketing programs designed for the real buying journey of freight decision-makers at every layer.
Our AI consultants have experience across multiple sectors, ensuring solutions meet complex enterprise requirements. We tailor AI systems to your context and compliance demands.
Our AI consultants have experience across multiple sectors, ensuring solutions meet complex enterprise requirements. We tailor AI systems to your context and compliance demands.
Our AI consultants have experience across multiple sectors, ensuring solutions meet complex enterprise requirements. We tailor AI systems to your context and compliance demands.
Each service: title + description (150-160 chars) + 4-5 ‘what we build’ bullets + button linking to service page.
Logistics AI with measurable impact 5% route efficiency, 10% empty-mile reduction, 20% ETA accuracy each translating directly into real margin improvement.
- Dynamic route and load optimization for fleets
- ETA prediction with traffic, weather, and history
- AI-powered freight rate benchmarking
- Automated dispatch and load assignment systems
- Conversational AI for tracking and customer support
Production ML across logistics ETA models tightening as shipments progress, demand forecasts driving capacity, and anomaly detection catching problems.
- ETA prediction at shipment and segment level
- Demand and capacity forecasting for networks
- Claims fraud detection and exception prediction
- Driver behavior scoring and safety risk models
- Predictive maintenance for fleet vehicles
Customer-facing portals and tracking experiences that measurably reduce WISMO calls because answering before customers ask is highest-leverage work.
- Customer booking and quoting portals
- Branded shipment tracking pages and embeds
- Carrier and shipper marketplace platforms
- Digital freight forwarding portals
- Claims and exception management portals
Driver, dispatcher, warehouse, and customer apps built for twelve-hour shifts, gloved hands, patchy connectivity, and real logistics work conditions daily.
- Driver apps with offline POD and signature capture
- Warehouse apps with barcode and pick-path routing
- Dispatcher apps with real-time fleet visibility
- Customer tracking apps with push notifications
- Safety and hours-of-service compliance apps
TMS, WMS, and logistics platforms built for specialty operators oversized, temperature-controlled, multi-modal, digital brokerage where standards don't fit.
- Transportation Management Systems for carriers
- Warehouse Management Systems with pick-pack-ship
- Freight forwarding and brokerage platforms
- Customs and international shipping software
- Yard management and dock scheduling systems
Commerce at the intersection of logistics and digital parcel booking, digital freight procurement, and fulfillment-as-a-service integrations end-to-end.
- Parcel and courier booking platforms
- Fulfillment-as-a-service commerce integrations
- Digital freight procurement and spot booking
- Last-mile scheduling and booking experiences
- Returns and reverse-logistics commerce flows
B2B logistics marketing that fills trailers and warehouses built around the reality that freight buying is long-cycle, relationship-driven, and SEO-led.
- Shipper and carrier acquisition SEO by lane
- B2B content marketing for logistics authority
- Paid search and LinkedIn for logistics buyers
- Sales enablement and operator comparison content
- Trade publication and industry event marketing
At Mpiric, we combines deep industry expertise, technical excellence and client-centric service to deliver enterprise-grade AI solutions. Our approach is results-focused, ensuring each project is aligned with your business objectives.
We guide you through every phase of the AI journey, from planning to production, with an emphasis on best practices and measurable outcomes.
Key reasons clients partner with Mpiric include:
01
Our AI consultants have experience across multiple sectors, ensuring solutions meet complex enterprise requirements. We tailor AI systems to your context and compliance demands.
02
We develop bespoke AI strategies and models aligned with your unique business goals and operational challenges. Every solution is designed specifically for your data and needs.
03
A proven track record of successful AI implementations demonstrates our ability to deliver measurable outcomes. Clients report accelerated decision-making and improved efficiency.
04
We build robust, secure and scalable AI systems compliant with enterprise standards and governance. Our solutions are designed for reliability, transparency and long-term value.
04
Dedicated post-deployment support, training and optimisation ensure lasting value and continuous improvement. We stay with you as your partner to refine and expand AI capabilities over time.
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Route optimization at 1,000+ stops uses metaheuristics genetic algorithms, simulated annealing, or large-neighborhood search combined with solvers like OR-Tools or Gurobi. The engineering challenge is constraint modeling: time windows, capacities, driver HOS. Typical solve time: 30-90 seconds for 1,000 stops across 50 vehicles.
Yes. Major telematics providers have documented APIs for vehicle data, driver status, HOS, and events. Our standard pattern is a telematics abstraction layer your application talks to a normalized data model and adapters translate vendor formats. You can mix or switch vendors without rewriting downstream. Integration takes 2-4 weeks per vendor.
Custom TMS ranges $300,000-$1,200,000. Customizing MercuryGate or Oracle Transportation Management costs $80,000-$400,000. Standard truckload or LTL? Customize existing. Running specialized ops like digital brokerage, multi-modal, or hazmat? Custom often wins because commercial products don’t fit those workflows well.
Tracking thousands of vehicles with high-frequency updates is fundamentally a data architecture problem. We use streaming (Kafka, Kinesis), PostGIS or time-series databases for storage, and WebSockets for dispatcher UIs. Smart update frequency matters. Well-designed systems handle 10,000+ vehicles with sub-second latency.
Yes, offline capability is essentially mandatory. We build local-first architecture operations work against a local database, sync happens when connectivity returns. Conflict resolution (dispatch reassigns stops while driver completes offline) uses last-write-wins or merge logic based on business rules. Apps work full shifts offline.
We use each carrier’s official API for rating, label generation, tracking, and validation. For most projects we build on aggregators like EasyPost, Shippo, or ShipEngine to reduce maintenance carriers change APIs regularly. Direct integrations make sense at high volume or when you need capabilities aggregators don’t expose.
Yes. Modern tracking is built on three things: accurate frequent status updates from carriers, a real-time ETA model updating as the shipment progresses, and proactive notifications reaching customers before they check. We build branded tracking pages, push and SMS notifications, map visualization, and rescheduling.
Let’s talk, Transportation Management System (TMS), route optimization, driver apps, or the technology running your fleet grounded in what actually works in real operations. We bring over a decade of logistics engineering to every conversation and engagement.
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Amazing customer support. I had one modifications and the customer support was super helpful and quick to answer them both.
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I purchased the theme because I really liked the design. After I started working with it I realized that I needed to translate some elements into Romanian.