Antenor Services 02 of 07 Process Optimization
Process optimization consulting
Operations research plus machine learning, applied to routing, scheduling, pricing and bottlenecks. Built by the engineers behind a route optimization API solving millions of last-mile shipments in seconds.
Who this is for
Volume grew. Margin didn't.
COOs and logistics, fleet and plant leaders whose operation scaled past what planners and spreadsheets can hold: too many routes, too many shifts, too many prices to set by hand.
The symptom is always the same: the plan takes hours to build, breaks by 10am, and nobody can say what it costs. We replace it with a system that computes the plan in seconds and proves the saving against your own baseline.
What we build
Route optimization at scale
TSP and VRP solving for last-mile fleets, delivered as a route optimization API your dispatch system calls in real time. Our production solver plans millions of shipments across 7 countries with seconds of latency, under real constraints: time windows, capacities, courier mix, live traffic.
Scheduling and resource allocation
Shift plans, crew assignments, machine schedules and dock slots computed instead of negotiated. We model your constraints explicitly, so the schedule respects the rules your planners keep in their heads today.
Pricing and revenue optimization
Data-driven pricing built on your transaction history and competitive data: price elasticity models, dynamic pricing rules and the guardrails your commercial team defines. The output is a pricing decision, not a report.
Bottleneck analysis and operations research consulting
When throughput stalls and nobody agrees on why, we combine analytics with operations research to find the binding constraint, quantify its cost and rank the fixes by return. Often the answer is unglamorous and cheap; we tell you that too.
Proof, not promises
Running in production today, verifiable at moova.io.
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Discovery
We map the process, the constraint and the money attached to it.
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Data Audit
We test whether your data can carry the model before promising results.
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Proof of Concept
A pilot built against a success metric agreed before we write code.
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Production
Deployed into your stack with your team, not handed off as slides.
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Monitoring
Models drift. We keep watching them after launch, not just at delivery.
Straight answers
The questions buyers actually ask, answered with numbers where they exist.
What does process optimization consulting actually deliver?
A deployed decision system: routes, schedules or prices computed and pushed into your operation, not a slide deck of recommendations. Every engagement is measured against a baseline agreed upfront, typically your current plans, so the improvement is verifiable from day one.
What is the difference between operations research and machine learning here?
Operations research finds the best decision under constraints; machine learning predicts the inputs that decision needs, such as demand or travel times. Most production systems need both: ML to forecast, OR to decide. We build the two as one pipeline.
Do we need a custom route optimization API or an off-the-shelf routing tool?
Off-the-shelf routing works when your constraints are standard and your volume is modest. Custom pays off when constraints are unusual, volumes are large or latency matters: our solver for Moova plans millions of last-mile shipments with seconds of latency, which no packaged tool matched.
How quickly can we see results?
Fast, because the baseline already exists. We replay your historical orders through the optimizer and compare against the plans you actually ran, so the savings estimate arrives in weeks, before anything touches live operations. Rollout then proceeds route by route or site by site.
What data do we need to get started?
The data you already operate with: orders and addresses, service times, vehicle or resource capacities, and the constraints your planners apply. It usually lives in your TMS, WMS or ERP. The data audit confirms coverage and flags gaps before we commit to numbers.
Bring us the bottleneck.
One session with a senior engineer. We'll tell you whether AI pays for it, and what it takes to ship.