Quoting and procurement are fragmented
Rates, lanes, capacity, providers, requirements, history, and approvals are repeatedly collected before an assignment can move.
AI for transportation and logistics
Coordinate transportation operationswith faster, clearer decisions.
Connect procurement, carriers, fleets, warehouses, shipments, drivers, passengers, documents, and customer communications across Mexico and the US—with safety and regulatory decisions under human control.
01 / Operational scale
More units and modes create
more coordination pressure.
Road, refrigerated, maritime, air, last-mile, urban, personnel, passenger, parcel, 3PL, logistics, and transportation-procurement operations must coordinate many systems and exceptions across branches and warehouses.
Delivery evidence is difficult to consolidate
Documents, images, signatures, timestamps, locations, and exceptions arrive through different systems and channels.
Incidents escalate without enough context
Teams lose time reconstructing the shipment, unit, driver, passenger, route, communication, and required response.
Utilization and fuel signals arrive late
Leaders need a better view of capacity, routes, consumption, maintenance, empty movement, and service performance.
02 / Solution workflows
Improve the workflows
that keep transportation moving.
Designed for operators with approximately 50 to 1,000 units, multiple warehouses or branches, and recurring shipment, passenger, procurement, or fleet activity.
Transportation quoting and procurement
Structure requests, compare approved providers and rates, collect requirements, prepare recommendations, and preserve approval history.
Automated status communication
Combine approved GPS, order, route, milestone, and exception signals to update customers, teams, operators, or passengers through controlled channels.
Proof of delivery workflows
Collect, classify, validate, associate, and route delivery documents and evidence while preserving exception review.
Incident and claim escalation
Enrich incidents with context, classify urgency, recommend routing, notify responsible teams, and maintain a reviewable timeline.
Planning, capacity, fuel, and maintenance
Support route and capacity planning, monitor utilization and consumption, and prioritize preventive-maintenance signals without removing operational accountability.
Dashboards, alerts, and mobile apps
Deliver role-specific operational views and mobile experiences for dispatchers, drivers, operators, passengers, procurement teams, and leaders.
03 / One-month quick hit
Validate one operational workflow
before expanding across the network.
The AI Iteration Lab starts at MXN $68,000 or USD $4,000 for an approved one-month scope. Travel, paid platforms, devices, data preparation, production integrations, and hardening are quoted separately.
Week 1 — Map
Choose one workflow and baseline; map users, units, routes, systems, data latency, exceptions, approvals, safety, and regulatory constraints.
Week 2 — Build
Configure the automation, dashboard, mobile experience, assistant, document flow, or integration with controlled data and human review.
Week 3 — Validate
Test accuracy, timeliness, failure modes, permissions, escalation, usability, and operational fit using representative scenarios.
Week 4 — Decide
Present the result, baseline comparison, risks, integration gaps, backlog, and recommendation to iterate, transfer, or scale through a Pod.
04 / Safety and accountability
AI supports the operation.
People remain accountable for it.
Solutions can connect with ERP, GPS and telematics, CRM, WhatsApp/WABA, customer portals, billing, proprietary platforms, legacy systems, and approved third-party APIs when access and feasibility are confirmed.
Location, route, order, driver, unit, consumption, evidence, fuel, maintenance, rate, and communication data remain subject to client permissions, provider rules, privacy, retention, security, and applicable transportation requirements.
- +No autonomous emergency, safety, regulatory, or critical-route decision
- +Route optimization and driver assignment remain recommendations requiring authorized review
- +No guaranteed fuel, utilization, delivery, or cost outcome
- +No client brands, logos, or results without written authorization
05 / Questions from operations leaders
Start with a controlled workflow
inside the real operation.
01Which transportation operations can use this model?+
Carriers, fleets, personnel and passenger transportation, parcel and last-mile operators, 3PLs, logistics companies, warehouses, and transportation-procurement teams can begin with one bounded workflow across road, refrigerated, maritime, air, urban, or multimodal operations.
02Can you work with our existing systems?+
Yes. We design around ERP, GPS, CRM, WABA, customer portals, billing, proprietary and legacy systems. Compatibility, APIs, data quality, latency, and provider limits are confirmed during discovery.
03Can AI optimize routes and assign drivers?+
It can generate recommendations using approved constraints and information. Dispatch, driver assignment, safety, regulatory compliance, emergencies, and critical routes remain under authorized human control.
04What can be delivered in one month?+
One quick hit such as quote automation, status communication, proof-of-delivery processing, incident escalation, a maintenance workflow, capacity dashboard, or bounded mobile experience.
05Is on-site discovery available?+
Yes. Workshops are available in Monterrey, Mexico City, and Guadalajara. Travel and on-site terms are confirmed with the scope.
06How much does the first Lab cost?+
A bounded one-month AI Iteration Lab starts at MXN $68,000 or USD $4,000. Final scope depends on systems, data, integrations, devices, travel, security, and production requirements.
06 / Start with one operation
Bring one transportation bottleneck.
See a result in one month.
Book a focused session with Adrian to select the procurement, quote, delivery, incident, fuel, capacity, maintenance, communication, or mobile workflow with the strongest first-month value.