Use cases

where teams decide
under hard rules.

The industries on this page are examples. The same engine takes any decision with rules, goals and data. It answers with the plan, the rule that binds it and the record.

six examples · one engineyour decision is the seventh
By industry

six examples, industry by industry.

Examples, not limits. Each use case shows the situation, the decisions teams bring, what the engine returns and how a first project runs.

01

logistics and supply chain

Dispatchers plan routes and stock with the gap stated.

  1. route planningWhich vehicle serves which stops, in which order, within every time window and driver rule?
  2. inventory allocationHow much stock of each item belongs in which warehouse?
  3. demand-driven procurementWhen do we order, and how much, as demand shifts with the season?
02

energy and utilities

Grid operators plan outages, crews and redispatch with the reasons on screen.

  1. redispatchWhich redispatch measures relieve a congested line at the lowest cost, while supply stays secure?
  2. maintenance outagesWhen does each line, transformer or plant go offline for maintenance with the least impact on supply?
  3. bids across marketsHow do batteries and flexible loads split their capacity across day-ahead, intraday, FCR and aFRR?
  4. field crewsWhich crew takes which job across the service regions?
03

manufacturing

Planners schedule against real capacity.

  1. production schedulingIn which order do the jobs run on each machine, respecting setups, maintenance and due dates?
  2. machine allocationWhich product batches go to which line, so changeovers stay rare?
  3. shift planningWhich crew, with which qualifications, staffs which line in each shift?
04

retail and e-commerce

Merchandisers price and replenish with the reasons attached.

  1. pricingWhich price per product and channel gives the highest total margin within your rules?
  2. replenishmentHow much of each item do we order, and for which store, as demand shifts with price and season?
  3. staff schedulingWho works which shift across the stores in peak season?
05

rail and public transport

Operations teams cover the timetable with vehicles and crews that fit.

  1. vehicle rotationWhich vehicle runs which rotation, so every trip is covered and every maintenance interval holds?
  2. crew rosteringWhich driver takes which duty, within rest times, qualifications and route knowledge?
  3. disruption re-planningA vehicle fails at noon. Which swaps cover the rest of the day with the least change for passengers and crews?
06

municipal utilities

Asset and service teams plan renewal, tours and crews with the reasons on record.

  1. asset renewalWhich mains, cables and stations do we renew this year within the budget, ranked by failure risk and impact on residents?
  2. waste collection toursWhich vehicle empties which containers on which day, within time windows and vehicle limits?
  3. field service crewsWhich crew takes which job this week, so planned work gets done and emergency cover holds?
07

your decision

Any recurring decision with rules, goals and data.

  1. Bring a decision your planners make every week. We write down the rules with them and build a first model on real data.
By type of decision

the same problems, across industries.

A crew plan in a grid company and a shift plan in a store are the same kind of problem. kint solves both on one engine, with the same checks and the same record.

the same problems, across industries.
Decisionlogisticsenergymanufacturingretailrailmunicipal
routingTours, stops and travel for vehicles and crews.
scheduling and dispatchWhat runs when, on which machine or asset.
allocationWhich order, batch or product goes where.
inventoryHow much stock to hold, and where.
procurementWhat to order, from whom, and when.
maintenance windowsWhen assets go offline at the least cost.
workforceShifts, crews and qualifications.
pricingPrices within margin and channel rules.

Filled square: the use case covers this decision. Every type is explained in optimization problems.

Beyond the examples

questions we build kint for.

If your team makes a recurring decision under hard rules with data behind it, the engine applies. A few shapes from sectors without an example page.

  • hospitals
    Which operation goes into which theatre and slot, within staff, equipment and bed limits?
  • airports
    Which flight gets which stand and gate, so transfers hold and towing stays short?
  • construction
    In which order do the crews and machines work the sites, within permits and delivery windows?
  • public administration
    Which case goes to which team, so deadlines hold and the workload stays even?

bring the decision your team makes every week.

A conversation with kint's FDEs. Bring the decision and its rules, and get a first model planners can read.

Flagships
manifest · merit · takt · horizon
Problem types
optimization problems
One engine
the platform
Contact
hello@kint.pro