AEVO combines AI, machine learning, and Operations Research to build custom decision systems that improve demand planning, inventory, energy, risk, and free cash flow inside your own perimeter.
AEVO builds customer-specific models that connect forecasting, optimization, and simulation so enterprises can improve service, resilience, and free cash flow together.
Labor and workforce allocation
Balance staffing, skills, and service levels under real operating constraints.
Supply and inventory decisions
Reduce working capital while protecting fill rate and service reliability.
Energy and facility orchestration
Shift loads, dispatch assets, and govern cost-to-carbon trade-offs in real time.
Liquidity and capital efficiency
Protect cash, reduce waste, and make trade-offs visible before they become expensive.
See the flagship offers →"The point is not to automate more dashboards. The point is to align thousands of micro-decisions to one business objective, with policy, risk, and economics built in."
Most enterprises already have dashboards, alerts, and models. What they lack is a reliable way to convert signals into a decision that respects policy, economics, and execution reality.
AEVO combines AI, ML, and Operations Research with customer-specific models so teams can move from disconnected analysis to governed action and measurable free-cash-flow improvement.
See how AEVO is built →We design custom model systems for operating teams that need measurable value, low deployment friction, and clear governance from day one.
Start with a high-value workflow such as inventory, staffing, dispatch, or liquidity and turn it into a governed decision loop.
Run AEVO inside your existing environment so data residency, access control, and operating policy remain under your control.
Expose assumptions, trade-offs, and policy constraints so every recommendation is easier to explain, govern, and improve.
The goal is not to demonstrate novelty. The goal is to improve a real decision with measurable impact on service, resilience, and free cash flow without replacing core systems.
We identify the highest-friction workflow where better decisions produce visible value without forcing a full-stack transformation.
Budgets, service levels, approval logic, operating limits, and governance rules become part of the system instead of afterthoughts.
Once the first workflow proves value, AEVO becomes a reusable decision layer across adjacent functions.
Reduce excess stock while protecting service commitments across plants, suppliers, and distribution nodes.
Make sourcing decisions with supplier pressure, lead-time volatility, and negotiation leverage visible in one model.
Align labor, throughput, and service windows instead of solving workforce planning in isolation.
Dispatch generation, storage, and facility loads against price, carbon, and reliability targets.
Turn site-level HVAC, battery, and process loads into one governed dispatch problem.
Coordinate spare-parts positioning and maintenance windows before downtime becomes a revenue event.
Adjust store and fulfillment staffing using actual demand patterns, labor policy, and service goals.
Coordinate promotions with stock position, replenishment cadence, and margin constraints.
Expose how labor, inventory, and markdown decisions move together before they compress cash flow.
Move treasury from retrospective reporting to scenario-based liquidity decisioning.
Balance payment timing, collections, and capital efficiency without losing policy control.
Make risk limits, stress scenarios, and capital protection operational instead of static reporting artifacts.
If one workflow is forcing your team to juggle too many variables at once, AEVO can turn that decision surface into a governed system with custom models and private deployment boundaries.
Schedule a working session →