Skip to main content
Interfaz EN/FR/ES/DE · cada recomendación se comprueba con sus reglas de negocio

Checked against the rules, and the recommendation stands.

Inteligencia para decisiones en equipos de operaciones

Describa el problema. Obtenga la decisión.

Convierta un problema operativo en una decisión defendible: con el impacto, el nivel de confianza, las restricciones y la evidencia.

Entrada en lenguaje corriente · recomendaciones comprobadas · interfaz EN/FR/ES/DE

Input
Plain language
Checked
Against your rules
Output
Recommendation + report

A decision, end to end

The brief, the model it built, and the answer it checked.

Three worked examples, each solved and verified ahead of time. Change the constraint and watch which part of the answer moves.

Demo data

Brief

One van, five drop-offs, back to the depot. The stops sit on a city grid — A(2,4), B(5,1), C(6,5), D(1,7), E(8,3), depot at (0,0) — and driving distance is the grid distance in km. Which order is shortest?

Written the way someone would say it. The quantities marked above are what Mongeflow reads out of it.

The model

Goal
Shortest total driving distance for one van, returning to the depot
Stops
A(2,4) B(5,1) C(6,5) D(1,7) E(8,3) from the brief
Depot
(0,0) from the brief
Distance
grid distance in km from the brief

Constraints

  • Every stop visited exactly once
  • The round returns to the depot

Stops on the round

How many stops are on the round.

Both options were solved and checked ahead of time. Changing this switches between them — it does not run a new solve in your browser.

Decision

  1. Reading
  2. Checking
  3. Computing
  4. Verifying
  5. Ready

Round distance32 km

The shortest round possible — all 120 stop orders were measured, and none beats 32 km.

The plan, and its arithmetic

  • Drive Depot → A → D → C → E → B → Depot
  • Legs: 6 + 4 + 7 + 4 + 5 + 6 = 32 km
  • Longest leg: D → C at 7 km

Compared with

Driving the stops in list order (A, B, C, D, E): 46 km — 14 km longer.

Checks

  • Passed: Every stop visited exactly once
  • Passed: Round returns to the depot
  • Passed: All 120 stop orders measured

Add a sixth stop at (4,8) and the best round grows only 2 km, to 34 km.

The product

Watch the decision take shape

Describe the problem in business language and follow the answer as it forms — the recommendation assembling, every business rule checked, the result ready to review.

The experience

First-class decision experience

Four steps carry a written brief to a shared report, and you see each one happen.

01 · Describe

A brief in business language

Write the problem the way you would say it. Mongeflow shows back the goal, the rules, and any missing details before it recommends anything. No black box.

02 · Decide

A recommendation, checked

Expected impact, confidence, and tradeoffs, stated plainly — every result checked against your rules before it is shown.

03 · Explore

What-ifs, precomputed

See how the answer moves when the inputs do — alternatives and tradeoffs you can compare before you commit.

04 · Share

From decision to report

Approve it, adjust it, or send a stakeholder-ready report or data export. The API reads your decisions and signs every webhook.

Six domains

Delivery rounds, rosters, budgets, forecasts

Routing

Stops, fleets, time windows, capacities, depots, pickup and delivery.

Learn more

Scheduling

Shifts, jobs, machines, precedence, setup times, skills, workforce.

Learn more

Selection

Assignment, knapsack, packing, facility location, sequencing.

Learn more

Network

Paths, flows, spanning trees, supply chain, multi-commodity, fixed charges.

Learn more

Financial

Portfolio, risk, revenue management, credit, treasury.

Learn more

Simulation

Probability forecasting, discrete-event and queueing models, sequential decisions under uncertainty.

Learn more

Try the match

Say it in your words

The match appears here — drawn from the shipped catalog, not a live solve.

The difference

Hand-built models vs the solved state

CapabilityHand-builtMongeflow
The understood problem, shown back and editable
Missing details named before recommending
A check on every recommendation
Marked verified only when all checks pass
Report and data exports
API reads + signed webhooks
Weeks of manual analysis

Verified daily

Checked this morning. And every morning.

A verification suite runs Mongeflow's answer classes against the live product every morning — profit plans, rosters, routes, forecasts — and each answer is checked before the day is called green.

profit planningstaffing coveragecheapest routedelivery roundsorder batchingsupplier choiceproject timelinequeue staffingbreak-even pointloan scheduleportfolio balancedemand forecastprofit planningstaffing coveragecheapest routedelivery roundsorder batchingsupplier choiceproject timelinequeue staffingbreak-even pointloan scheduleportfolio balancedemand forecast
ROUTINGSCHEDULINGSELECTIONNETWORKFINANCIALSIMULATIONPLAIN-LANGUAGE INPUTPRODUCTION APIEN/FR INTERFACEROUTINGSCHEDULINGSELECTIONNETWORKFINANCIALSIMULATIONPLAIN-LANGUAGE INPUTPRODUCTION APIEN/FR INTERFACE

The API

One request. One answer.

Decisions are made in the product. The API reads what you decided, pulls a supported report or data format, and signs every webhook it sends.

solved.sh
# Read what was solved
curl https://mongeflow.com/api/v1/decisions?status=solved \
  -H "Authorization: Bearer mf_live_xxxxxxxxxxxxxxxxx"
# → [{ "id": "…", "title": "…", "status": "solved",
#      "savings_total": …, "decision_type_label": "Routing" }]
 
# Pull the deliverable
curl -X POST https://mongeflow.com/api/v1/exports \
  -H "Authorization: Bearer mf_live_xxxxxxxxxxxxxxxxx" \
  -d '{ "analysis_id": "…", "format": "pdf" }'

Weeks of analysis become one description.

The structuring, the tradeoffs, and the recommendation that once needed a dedicated analyst — returned from a single written description.

Not a chatbot. Not a dashboard. Decision infrastructure.

Most operations still plan by hand. Yours won't have to.