Supply Chain & Logistics
Network Savings Replay Agent
A defensible savings number on your own dispatch exports, order by order.
Target outcome: 8-week assessment
The business problem
Recover 3 to 5% of freight and logistics spend
Network design studies produce a savings figure that finance will not sign off on because it cannot be tied to named shipments on your own data.
What we deploy
Network Savings Replay Agent
Runs the guaranteed assessment: 6 to 24 months of your file exports replayed against alternative paths and clubbings, with named shipments and a number that survives hostile review.
How this agent runs
Every agent follows the same operating loop on your stack: audit the evidence, decide with confidence scores, execute with human approval, and record results back to your systems.
Audit
Full coverage on the transactions and documents you choose: contracts, invoices, dispatches, disputes.
Decide
Confidence-scored recommendations with counterfactuals, tax feasibility, and policy rules applied first.
Execute
Human-in-the-loop for consequential actions. Agents prepare; your team approves.
Record
Clean results posted back to your ERP, WMS, or operational systems with a full audit trail.
What we need from you
Data and systems
Dispatch and TMS exports (typically 6 to 24 months)
Carrier contracts, rate cards, and lane master data
ERP shipment, cost, and inventory feeds or scheduled CSV drops
Typical timeline
Guaranteed assessment in 8 to 12 weeks on your exports. Production rollout follows once the savings case clears your hurdle.
8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout. We agree the baseline and success metric before deployment starts.
Key capabilities
Replay 6 to 24 months of dispatch exports order by order
Model alternative paths and clubbings with auditable assumptions
Deliver a guaranteed assessment number before rollout commitment
How we deploy it
8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout. Same operating model on every agent: scope, deploy, measure, then scale or hand off.
Scope
Agree one outcome, baseline KPI, and the exports or systems the agent will read.
Deploy
Agent live on your ERP, WMS, or operational files within the engagement window.
Measure
Track results against the baseline with named transactions and audit trails.
Scale
Expand to adjacent modules or run independently. You own the code from day one.
Good fit if
You need a savings case for leadership before funding a pilot
Consultants quoted multi-month studies with black-box outputs
Operations and finance disagree on what is achievable
Production module in the field
FlowPath
Case studies, module depth, and technical FAQs for the platform this agent runs on.
Frequently asked questions
DiscvrAI replays 6 to 24 months of your dispatch file exports against alternative paths and clubbings, shipment by shipment, and returns a defensible savings number with named examples before you commit to a full rollout.
Most assessments complete in 8 to 12 weeks on your operational data, depending on export quality and network complexity.
Yes, that is the point. Every savings line ties to named shipments and auditable assumptions, not a black-box model output.
No system is perfect. We work from the exports you have today, document gaps explicitly, and show sensitivity where master data is weak.
You keep the replay analysis and named examples. There is no obligation to proceed to rollout if the number does not justify investment.
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8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout.