INTERACTIVE LOGISTICS SCENARIOS · BUILT WITH OVERLIFT

OverLift Logistics

A shipment is at risk. Compare the recovery options.

OverLift Logistics applies the OverLift architecture to a concrete operations problem: recovering an at-risk shipment. Try synthetic scenarios with visible route options, costs, supporting records, and approval requirements.

Try the Logistics scenariosOverLift.ai See project screenshots
OverLift Logistics global route explorer comparing evidence-backed recovery paths
Global route explorer The read-only candidate explorer shows multiple recovery paths, the evidence behind them, and the exact boundary between a proposal and an authorized operational change.

Recorded project scope

Implemented

Synthetic logistics world with shipments, facilities, inventory, routes, and evidence

More in this category (2)
  • Local hybrid retrieval, candidate path explorer, Truth Clock, and Decision Receipts
  • Typed proposal and approval boundary with deterministic validation

Demonstrated

Amsterdam facility outage and evidence-backed reroute comparison

More in this category (2)
  • Read-only counterfactual branches that preserve canonical truth
  • Stale, restricted, and contradictory evidence handling in the browser

Planned

Production model gateway with local embeddings and selected cloud reasoning

More in this category (2)
  • Real ERP, carrier, inventory, and service-management connectors
  • Approved write adapters with enterprise identity and audit integration

Research

Quantum-inspired exploration of large recovery-path spaces

More in this category (2)
  • Causal explanation of which fact changed a recommendation
  • Cross-domain Semantic Bridge contracts for additional operations systems
PROJECT SCREENSHOTS

Explore the interface, workflow, and results shown in the project screenshots.

OverLift Logistics Truth Clock comparing a canonical plan with a read-only counterfactual branch
Truth Clock A counterfactual changes one fact, preserves the canonical record, and makes the first changed conclusion visible with an inspectable branch receipt. View full-size image
MARKETING

Who it helps and why.

A service shipment can be late because of one small fact hidden across inventory, courier, facility, policy, and customer records. Operations teams often have to assemble that story by hand while the service-level clock keeps running, and a rushed answer can be based on stale stock or an action the operator is not allowed to take.

What makes it useful: An operator can trace a suggested route back to its shipment records, timing, cost, and approval requirements. The synthetic missions make these tradeoffs visible and preserve a record of the decision.

BUSINESS / EXECUTIVE

Business value.

The intended value is a shorter path from a delivery exception to an explainable recovery decision. The synthetic scenarios show how an operator can compare options and see why a route is blocked; they do not measure savings or service improvements in a live logistics business.

Explore the business outcomes
  • Visible recovery tradeoffs
  • Explicit approval requirements
  • Replayable synthetic decisions
ARCHITECTURE

How the system fits together.

RAG and agent orchestration interpret the exception, assemble evidence, and propose typed recovery actions. Deterministic code validates identity, permissions, inventory state, SLA rules, costs, and preconditions before execution. A post-action verifier confirms the result and writes a causality receipt.

A representative workflow

  1. 01

    Open a synthetic delivery incident and inspect the shipment, service promise, and current evidence.

  2. 02

    Compare recovery routes, including cost, arrival time, inventory, and any required approval.

  3. 03

    Inspect the result and its supporting records. Use the separate mission controls for decisions; questions only explain the reviewed state.

Explore the architecture details

I built OverLift Logistics as a synthetic but working operations laboratory. It includes a local evidence corpus, hybrid retrieval, route and inventory candidates, a typed tool boundary, counterfactual branches, approval checks, a Truth Clock, and receipts that preserve why one recovery path was preferred over another.

ENGINEERING

Engineering choices.

I separated language interpretation from operational authority. Retrieval finds relevant records; typed rules check cost, inventory, timing, and approval. This keeps a plausible explanation from becoming permission to change a shipment.

Explore the technology and engineering details
Technology stackASP.NET Core, Azure, hybrid RAG, vector search, bitemporal events, LangGraph/LangChain patterns, typed tools, C17/WebAssembly, OpenTelemetry
  • Hybrid retrieval over operational evidence and procedures
  • Counterfactual facility, courier, and inventory scenarios
  • Typed action gateway with approval, verification, and receipts
OVERLIFT METHOD

How this product applies the OverLift method.

The OverLift method turns scattered shipment facts into one time-aware state, compares several recovery paths, rejects routes that break inventory, SLA, cost, or authority rules, and records why the approved plan won. Operations teams get speed without losing control.

Explore the shared OverLift architecture

The method is reusable. Each product supplies its own facts, rules, execution, and validation. These tiers describe the shared architecture; the project scope above records which capabilities are implemented here.

Why determinism matters here: Inventory, deadlines, courier state, cost, and approval cannot drift simply because an agent found a persuasive route. Determinism keeps the recovery plan tied to the same operational facts.

  1. T0
    Exact baseline

    Define the authoritative result before adding acceleration, semantics, or agents.

  2. T1
    Measured evidence

    Instrument state, latency, quality, and failure so improvement is observable.

  3. T2
    Bounded ownership

    Move expensive or high-frequency work behind clear worker and memory boundaries.

  4. T3
    Deterministic transport

    Version messages, snapshots, identities, deadlines, and replay inputs.

  5. T4
    Semantic assistance

    Let local retrieval and models propose meaning only inside admitted evidence.

  6. T5
    Candidate paths

    Compare several allowed next actions with explicit risk, cost, fit, and uncertainty.

  7. T6
    Shadow verification

    Challenge the production route without giving the challenger authority.

  8. T7
    Governed production

    Promote only measured, replayable paths with fallback and operational receipts.

  9. Tier-S
    Experimental challenger

    Run advanced evaluators in shadow, compare them with the control, and graduate only repeatable gains.

CATS

Context-Aware Tier Selection

CATS chooses a qualified execution tier for the evidence, device, latency, permissions, and failure conditions of the task.

SEMANTIC BRIDGE

Meaning becomes typed product state

The Semantic Bridge maps a goal to explicit entities, evidence, uncertainty, tools, and permissions. Missing or contradictory information remains visible.

DETERMINISM

Validate the action and retain the result

Models may retrieve, compare, or propose. Exact software checks facts, permissions, state changes, and execution, then records what happened.

OverLift securityAgentic AI Glossary

Read the OverLift MethodOverLift.ai See other products
PROOF

Evidence and limits.

The working portfolio missions expose recovery options, their costs, constraints, and supporting records. The answer interface can explain a reviewed shipment or route and request clarification. It is read-only: asking a question does not approve an action, update a shipment, or execute a counterfactual branch. The company and incidents are synthetic.

Inspect a Logistics mission View project screenshots

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