Hybrid AI for Logistics and Supply Chain
Hybrid AI that routes every request. Private models in your own cloud or at the site edge for shipment records, customer rates, contracts, customs files and telematics. Leading managed models like Claude or GPT for port congestion, weather, tariffs and public trade news. Answers that reason like your planners and customs brokers, at a cost you can forecast.
Built for
Logistics AI rarely fails for lack of good models. Control breaks down for five reasons, and most forwarders, carriers and 3PLs recognise at least one of them.
Reason 1Shadow AI
Rate sheets, customer emails and shipment lists get pasted into public chatbots because the approved tool is too weak or too slow.
The cost: A customer-data and pricing risk you can’t see or audit.
Reason 2Stalled Pilots
Security teams and customer contracts won’t let shipment, customer or customs data leave your systems, so AI stays on brochures and public tracking pages.
The cost: You pay for AI that never touches the freight that matters.
Reason 3Generic Output
General-purpose models ignore your carrier contracts, lane history and customer SLAs, so planners redo what comes back.
The cost: The time AI was meant to save disappears in the rework.
Reason 4Runaway Cost
Status messages, emails, customs documents and telematics pings arrive around the clock. Per-token pricing turns every event into a cost finance can’t forecast.
The cost: The more volume you win, the less you can afford to automate.
Reason 5Audit Scrutiny
Shippers, customs authorities and auditors now ask how AI shaped a declaration, a quote or a delay notice, which data it saw and who approved it.
The cost: Untraceable AI puts customs status, customer contracts and tenders at risk.
Ancoravia keeps shipment, rate and customer data private, uses Claude or GPT only where it helps, reasons like your planners, and turns runaway token spend into a cost you can plan.
See how hybrid routing works3PL or freight forwarder? The same five problems show up with a twist: every client’s shipments, volumes and rates must stay separate, and clients audit how you use AI. See the 3PL and forwarder page.
Hybrid AI is the core of Ancoravia. Every request passes a policy check before any model sees it. Shipment, rate, customer, customs and telematics data runs on LLMs on GPUs in your own cloud or at the site edge, with no per-token fees. Work with no confidential data, such as port congestion, weather warnings, tariff news or public regulation, can use Claude or GPT, billed per token for that share only. When in doubt, it stays private.
A RequestFrom a planner, workflow or system
Policy CheckConfidential data?
Private Where It MattersLLMs on GPUs in your cloud or at the edge
Managed Where It HelpsPer token, public work only
One AnswerLower cost per answer
Shipment records, customer rates, contracts, customs files and telematics are handled only by open-source models you control. When in doubt, a request stays private.
Managed models such as Claude, GPT or Grok read port notices, weather warnings, tariff news and public regulation without ever seeing your data. You pay per token only for this share of the work.
Routine work such as status-email triage and document checks is handled by small, fast models. Large models are reserved for exception analysis and complex drafting.
| Task | Route | What the Model Sees |
|---|---|---|
| Shipment and TMS data | Private AI | Bookings, consignments, milestones and exceptions from your TMS and WMS |
| Customer rates and tenders | Private AI | Rate cards, quotes, tender responses and margins |
| Customs declarations | Private AI | Commercial invoices, packing lists, tariff codes and declaration history |
| Customer emails and service | Private AI | Customer messages, contracts, SLAs and claims history |
| Telematics and fleet data | Private AI | GPS positions, temperature logs and vehicle diagnostics, processed in your cloud or at the site edge |
| Dock and yard camera video | Private AI | Dock-door, yard and warehouse video, processed on edge GPUs; never sent to a managed model |
| Carrier contracts and claims | Private AI | Carrier agreements, liability terms, damage reports and claim files |
| Warehouse operations | Private AI | Stock positions, pick rates, slotting and labour plans |
| Port, weather and disruption tracking | Managed AI | Public port notices, vessel schedules, weather warnings and strike news, never your shipments |
| Tariffs and trade regulation | Managed AI | Public tariff announcements, sanctions lists and customs guidance |
| Market and carrier research | Managed AI | Public freight indices, carrier news and filings, never your rates or volumes |
See how Ancoravia answers: a planner asks, and every answer separates observation from interpretation, states its confidence, cites your own SOP and shows which side of the hybrid route handled it.
Late ocean shipment with milestones from your TMS
Private AIConfidential data: stays in your cloud
| Field | Status |
|---|---|
| Lane | Rotterdam to Chicago |
| Planned arrival | 14 Oct |
| Latest ETA | 19 Oct (+5 days) |
| Customer SLA | Delivered by 17 Oct |
What happened to this shipment, and what do we tell the customer?
Spot quote request from a customer email
Private AIConfidential data: stays in your cloud
| Field | Value |
|---|---|
| Lane | Venlo to Milan, full truckload |
| Load | 26 pallets, 11.2 t |
| Pickup | Thursday |
| Customer | Contract, tier B |
Draft a quote in line with our rate policy.
Import entry waiting for the customs broker
Private AIConfidential data: stays in your cloud
Pre-check this entry and suggest a tariff code.
Missed outbound cut-offs at a distribution centre
Private AIConfidential data: stays in your cloud
| Measure | Value |
|---|---|
| Pick rate | 142 lines/h (target 165) |
| Late orders | 38 of 1,210 |
| Main delay | Waiting for replenishment, 57% |
| Recent change | New slotting since Monday |
Why are we missing cut-off, and what should we fix first?
Temperature alarm on a refrigerated trailer
Private AIConfidential data: stays in your cloud
What does our procedure say for this alarm?
Public news on ports, waterways and weather on your main lanes
Managed AIPublic sources only: managed model allowed
What disruption should we plan for next week?
Illustrative examples with synthetic data. These are not real shipments, customers, companies or model output; they show the format of Ancoravia’s answers. Document names and sections are examples of your own SOPs.
Special Focus: Dock and Yard Vision
Most warehouses, cross-docks and yards already have cameras on dock doors, aisles and gates, and almost nobody watches the footage. Vision-language models now turn that video into answers you can search, count and act on: damaged pallets, broken seals, half-empty trailers. Because footage shows your customers’ goods and your people, Ancoravia runs it only on private models at your site edge.
Illustrative example with synthetic data. A checker reviews each clip before a claim is raised.
Video is processed on GPU servers on site or in your own cloud. It is never sent to a managed model, and raw footage never leaves your infrastructure.
No facial recognition and no scoring of individual workers. Faces can be blurred at the source, and retention follows your own policy.
Detections are suggestions for your checkers, supervisors and safety team. Designed to support GDPR and EU AI Act obligations, with documentation for your DPIA and works council.
General-purpose assistants give every company the same answers. As more planning, pricing and customer work passes through AI, the network knowledge that sets your business apart becomes available to anyone with a subscription.
| Aspect | Generic AI | Ancoravia |
|---|---|---|
| Learns from | Public data, the same for every customer | Your shipment history, lanes, rates, carrier contracts and SOPs |
| Reasons like | The vendor’s house style | Your planners, pricing analysts and customs brokers |
| Judged by | The vendor’s benchmarks | Your experts, on real shipments, quotes and declarations |
| Improves | When the vendor updates everyone | Every time your planners review an answer |
| Uses | One vendor’s model for everything | Private models for confidential data, managed models where they help |
| Runs on | The vendor’s servers | Your own cloud account or site-edge servers |
Your Competitor Can License the Same Model Tomorrow. They Can’t License Your Network, Your Lane History or Your Planners’ Judgement.
Your network, your AI.
Its knowledge, reasoning and quality standard come from your planners. Nothing you build trains anyone else’s model.
Confidential by design.
Every model that sees shipment, rate or customer data runs in your cloud account or at your site edge. We operate the platform without any access to your data.
Ready for customers and customs.
Experts rate answers on real shipments and documents, every answer cites its source, and every change is versioned and tested. A change goes live only when it meets your standard.
The strongest model for each task.
Private models for confidential data, Claude or GPT for public research. Agentic RAG pulls in the exact contract clause or procedure. New models are adopted only after testing on your data.
Costs less as volume grows.
Small models first, capacity that follows your cut-offs and peak season, and no per-token fees on confidential work. Managed AI is paid for only where it earns its place.
A complete hybrid AI stack, operated for you. Each capability runs where it belongs: private for confidential data, managed where public sources help.
Several large models on call, each chosen per task, so no single model or vendor limits your work.
Private + ManagedFast, efficient SLMs handle routine work first, such as status-email triage and document checks, keeping each answer quick and low-cost.
PrivateModels tuned on your SOPs, email templates and approved customer replies, so answers use your company’s own language.
PrivateSupervised agents gather bookings, invoices, contracts and milestones into one working draft, such as a tender response, claim file or delay notice, with an expert approving each outcome.
Private + ManagedAnomaly detection over GPS, temperature and vehicle data plus TMS and WMS events, connected read-only through APIs, EDI, your telematics platform or visibility provider.
PrivatePort notices, weather warnings, freight indices, tariff news and public customs guidance, read from public sources and kept current.
ManagedDamage, seal and loading checks from dock cameras and phone photos, trained on your own claim history and checked against your checkers’ decisions.
PrivateCommercial invoices, CMRs, bills of lading, packing lists and scanned delivery notes read accurately, with low-quality pages flagged for review.
PrivateModels run on GPU servers at warehouses, cross-docks and terminals when latency, connectivity or site security require it.
PrivateGovernance built in from day one, the way controlled customs and customer processes already run.
PrivatePrivate runs in your cloudManaged public sources onlyPrivate + Managed routed per request
Every AI workload has a break-even point. Below it, paying per token is cheaper; above it, owned capacity wins. Logistics never sleeps: status events, emails and documents arrive around the clock and volumes spike every peak season, so much of it crosses that line early. Ancoravia puts each workload on the right side of the line, and moves it when it crosses.
Illustrative. Monthly cost (vertical) against monthly usage (horizontal); dots mark each break-even point.
At very low volumes, pay-per-use can be cheaper. Our break-even calculator shows where your organisation sits. Cost is one reason for hybrid AI, not the only one: customer contracts and pricing data often justify private AI before the numbers do.
Building hybrid AI for your operations yourself means hiring a team, building a platform and passing IT, security and customer reviews before a single planner benefits. With Ancoravia, you skip straight to the part that matters: your planners using it.
Your private environment is running in hours, while a build-it-yourself project typically spends its first months on hiring and infrastructure. A supervised pilot with your experts follows within weeks.
No AI engineers, MLOps specialists or GPU experts to recruit in one of the tightest talent markets. Your IT team stays focused on the TMS, WMS and customer integrations it already runs.
Upgrades, monitoring, scaling, security patches and model releases are handled around the clock. No infrastructure for your team to babysit.
Illustrative comparison of typical phases. Your timeline depends on scope and your own review processes.
XePlatform is our production AI operations platform, already running private and managed AI side by side inside customers’ own cloud accounts. Underneath is platform engineering on Kubernetes: a wide ecosystem of interconnected open-source tools for model serving, scaling, observability and security, integrated, tested and operated as one platform. Ancoravia is the logistics and supply chain product built on it, so the engineering underneath is proven before your first pilot begins.
Most operations start with one of these workflows. Every answer shows where it came from and which route handled it.
Late milestones explained against your contracts and SLAs, so customer service sends an accurate, approved notice before the customer asks.
Spot quotes and tender lanes drafted from your rate history and margin rules, ready for the pricing team to approve.
Invoices, packing lists and certificates checked against each other and your classification register before the broker files.
Drivers, warehouse staff and planners ask in plain language and get the exact step from your approved procedure, with the section cited.
Ancoravia supports planning, customs, warehouse and customer-service work. It does not make decisions: a qualified person reviews every output, and nothing is sent to a customer, filed with customs or changed in your TMS automatically.
Explore workflows, example outputs and team scenariosYour teams work with Ancoravia inside your own cloud account or at your site edge. We run the platform from outside, with no access to what is inside.
Shipment, rate, customer, customs and telematics data: never, including prompts, outputs, documents and logs. Operational health metrics: only these, which you can inspect or switch off. Managed AI: only the public sources and public-only tasks you route to it, under a monthly cap you set. See the full data-flow breakdown.
Start with one workflow, often one customer-service desk or one site. Your IT, security and compliance teams review in parallel, with documentation we supply.
Ancoravia is installed in your cloud account, data centre or site-edge servers, in the region you choose, in Europe or North America.
SOPs, contracts, rate policies and customs rulings are indexed, each source traceable. TMS, WMS and telematics data is connected read-only. You choose which tasks may use managed AI.
Planners and agents use Ancoravia on real shipments, quotes and documents, in parallel with today’s process, and rate every answer.
The configuration your planners and operations leads approved goes live. Rolling back takes one step.
Logistics companies rightly ask for proof. Here is what you can inspect before you decide, and what your pilot hands you at the end.
No per-token fees for confidential work, however many shipments, messages and documents you process. Estimate your break-even point with our calculator.
Before the pilot starts, we record how your team works today. Then we measure the difference.
About hybrid, private and managed AI for logistics and supply chain.
Hybrid AI uses different models for different tasks. In Ancoravia, anything involving shipment records, customer rates, contracts, customs files or telematics stays on private, open-source models in your own cloud or at your site edge, with small models answering first and larger models when needed. Tasks with no confidential data, such as tracking port congestion, weather warnings, tariff news or public regulation, can use managed models such as Claude, GPT or Grok.
Private-only means your teams miss out on the most capable models for public research. Managed-only sends shipment and customer data to a vendor and bills every status message, email and document by the token. Hybrid gives each task the right model: confidentiality where it matters, frontier capability where it helps, and the lower cost for each workload.
No. Every request passes a policy check before any model sees it. Anything involving shipment, rate, customer, customs or telematics data, or where the check is unsure, stays private. You decide which task types may use managed AI at all, and you can switch it off entirely.
No. Ancoravia works on top of the systems you already run. Your TMS, WMS, customs software, telematics platform and ERP stay the systems of record; Ancoravia reads from them and helps your teams analyse, summarise and draft, grounded in your own SOPs and contracts.
No. Ancoravia is decision support with human oversight. Your systems are connected read-only, nothing is sent to customers or carriers, filed with customs or changed in your TMS, and a qualified person reviews every output and makes the decision. Your organisation defines the intended use of each workflow.
Yes, read-only. Ancoravia connects through APIs, EDI messages, database replicas, your visibility platform or your telematics provider, and processes the data in your cloud or on GPU servers at your site edge. Nothing is written back to your systems, and shipment or telematics data never reaches a managed model.
No. Telematics is used for vehicles, loads and routes, and camera vision detects events such as damaged pallets, blocked dock doors and zone entries, not identities. There is no facial recognition and no scoring of individual drivers or warehouse staff; faces can be blurred at the source, and video is processed only on private models in your own infrastructure. We provide documentation for your data-protection impact assessment and works council.
In Ancoravia, sovereign or private AI is the part that handles confidential data. The models run inside your own cloud account, data centre or site-edge servers, under your control, instead of on a vendor’s servers. Ancoravia delivers it as an operated platform, so logistics companies get the benefits without building an AI team.
Running AI on confidential shipment and customer data is far more than provisioning a server with a GPU. It needs infrastructure provisioning as code, model serving, retrieval over your own SOPs and contracts, connectors to TMS, WMS and telematics, staging environments, release engineering with evaluation gates and rollback, observability, autoscaling, backup and security policy, all kept running every day. Ancoravia delivers that complete stack, built on XePlatform, inside your own infrastructure and operated for you, so a supervised pilot can start within weeks without new hires.
Ancoravia is designed to support obligations under GDPR, NIS2, the EU AI Act and the Union Customs Code, as well as Authorised Economic Operator expectations, ISO 27001 information-security practices and the data-protection terms in your customer contracts. Confidential data is processed only inside your own infrastructure, every request and approval is logged, and we provide documentation for your risk assessments and audits. Compliance itself depends on how your organisation uses the platform.
Open-source general, vision, time-series and forecasting models run inside your infrastructure for all confidential work, alongside your own planning and pricing models. New models are adopted only after they pass evaluation on your own data. Managed models such as Claude, GPT or Grok are used only for tasks with no confidential data.
Yes. Ancoravia runs on the major public clouds in the region you choose, in Europe or North America, in your private cloud or data centre, or on GPU servers at warehouses, cross-docks and terminals, built on open standards so you can move without rebuilding.
A fixed platform subscription plus your own infrastructure costs, with no per-token fees for confidential work. Managed AI is billed per token only for the tasks you route to it, under a monthly cap. Small models first, capacity that follows your cut-offs and peak season, and shared hardware keep the cost of each answer low, which matters when shipment events and messages arrive around the clock.
The environment is set up in hours and your SOPs and contracts loaded within days. A supervised pilot with your planners typically runs about four weeks, while your IT, security and compliance teams complete their review in parallel.
A task-by-task guide to routing shipment, pricing, customs and disruption work between private models in your cloud and managed models such as Claude or GPT.
Read articleStatus messages, emails and documents arrive around the clock. Here is where the break-even point sits, and why owned capacity wins.
Read articleIf every logistics company uses the same assistant, the lane knowledge and planning judgement that set a strong operator apart start to disappear.
Read articleExplore a supervised pilot using your own shipment data, documents, infrastructure and evaluation criteria. Tell us the workflow that costs your planners the most time.