Logistics AI isn't a feature. It's a data solution.
Most AI deployed in logistics today sits on top of fragmented, inconsistent data. It produces outputs that are fast but wrong, or accurate but incomplete. The problem was never the model. It was always the data underneath it.
Loop's logistics AI was built differently. We solved the data problem first.
Get started with Loop
The power of logistics AI
Our domain-driven approach is powered by logistics-AI that breaks down complex data into our atomic task system so you can automate work and control costs.
Built for the supply chain
Supply chain data doesn't arrive clean. It comes from hundreds of sources, in dozens of formats, with no consistency in how charges are named or how documents are structured. Loop's models were purpose built to make sense of this complexity.
Trained on your business
Every network is different. Your carriers, your lanes, your contracts, your cost structure. Loop learns from your data so the outputs reflect how your business actually operates, not a generic approximation of it.
Governed by your policies
Your team already knows what good looks like. Loop lets you codify that and enforce it consistently across every transaction. When something falls outside the rules, you can take action immediately.
Multiplies your team output
The volume of work in operations and finance keeps growing. The headcount to handle it usually doesn't. Loop absorbs the manual work so your team can focus on decisions that actually move the needle.
Built for the supply chain
Ask for a reference number for a shipment and you’ll get several answers: shipment ID, PO #, carrier pro number, order number. The supply chain's mass fragmentation and low standardization across stakeholders and systems means is hard to understand, let alone reconcile.
Logistics-AI addresses these challenges by contextualizing, categorizing, extracting, standardizing, and linking all your data. To succeed today, you need a comprehensive view of your transportation spend to properly control costs and reduce risks.
Trained on your data
Our models are trained on your data so you get a comprehensive but flexible view of your business (network spend, cost per accessorial per carrier, cost per lane, cost per product, etc.). We use multiple models that have a consensus mechanism to run accuracy checks with human experts in the loop if needed.
Our platform can easily take in new data formats and sources, so you can easily activate new carriers and always get the most accurate view. The best part? Our models become faster and more accurate as your network grows.
AI-powered extraction and centralization
Trying to connect the dots across shipments and documents can make you feel like you’re looking for a needle in a haystack.
Logistics-AI’s dynamic data management extracts, contextualizes, categorizes, and standardizes all of your data. This allows the Loop platform to filter down to a tracking-ID level or pull the aggregate data to show you top accessorials across carriers.
Teams today need this flexibility so they can get a comprehensive view of their supply chain and spend data.
Unlocking the power of connected data
Loop’s comprehensive view of your transportation and financial data means our platform can automate work and uncover insights across your network. From running scenario planning to assessing how you should allocate shipment volume to identifying your highest cost buckets so you can focus on your contract negotiation wisely.
Logistics-AI’s connected data empowers you to optimize your team, carrier, and network performance.
Not a generic LLM
We get much higher accuracy fine-tuning our own models and this level is what our customers need. Generic API based models, like Chat GPT, cannot handle supply chain tasks with enough precision and speed.
Human in the loop approach
When we build a new model, we always construct and train it with three humans involved so we can validate its performance.
Multi-model decision making
To arrive at a decision, Loop utilizes multiple models, general-purpose models and fine-tuning models to ensure there is consensus.
Atomic task system
A system that breaks down goals into smaller, manageable atomic tasks so our platform can automate work.
Computer visions models
Our models that take in image inputs and convert them to text outputs.
Large language learning models
Our homegrown models that take in text inputs to understand their context and meaning to create outcomes.
Data categorization
Identify each document type to validate it and ensure compliance.
AI-driven extraction
Configure your extraction and validate with human oversight to ensure accuracy.
Data standardization
Normalize data from every carrier regardless of how they name their service-levels, detail their line-hauls, or write “fuel surcharge”... “fuel,” “FL Sur”, “FS,” etc.
Connect your supply chain’s unstructured data
Logistics-AI constructs a comprehensive but flexible view so you can automate work and uncover insights at every level (network spend, cost per accessorial per carrier, cost per product, etc).
Still not sure about AI?
See how logistics-AI has transformed our customers’ business.
.svg)
Frequently asked questions
Unlock profit trapped in your supply chain.
Chat with our team of supply chain and automation experts to get started today.