Solutions

Compute the contract economics — before you bid

Before a public tender for a service contract, an operator needs to know how many shifts, people and vehicles the contract will require — and whether the economics add up. Opturan computes this on the actual contract data, instead of an expert guess

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Opturan does not promise a tender win — it delivers an accurate demand and cost computation to base your bidding decision on

CHALLENGES

Risks when preparing a bid

  • Staff and fleet demand for the contract is estimated by expert judgement — padded or underestimated
  • An estimation error turns into a loss-making contract for years
  • There is no time to recompute several scenarios by hand before the bid deadline
  • The cost case rests on rough guesses rather than computation
HOW IT WORKS

What Opturan provides for bid preparation

  1. STEP 01

    The real demand under the contract

    The Dynamic Shifts module builds an optimal plan of shifts and duties from the trip table of the service contract — and shows how many drivers and vehicles are actually needed to deliver it

  2. STEP 02

    “What if” scenarios

    Parallel computations let you compare options — different timetables, fleet compositions, operating modes — in minutes rather than weeks. The bidding decision is made on numbers

  3. STEP 03

    A substantiated cost case

    The output is a concrete shift plan with staff and fleet demand. You can rely on it when estimating contract delivery costs and preparing the bid

WHAT YOU GET

For procurement under 44-FZ and 223-FZ

  • A vendor listed in the Russian software registry — entry No. 20933, artificial intelligence category
  • Developed by ZashchitaInfoTrans, a state enterprise under the Russian Ministry of Transport
  • State software registration certificate No. 2023684294
  • Data is stored and processed in Russia — compliant with federal law 152-FZ
  • Meets import substitution requirements in public procurement
BY THE NUMBERS

Computation accuracy proven on the line

−2–8%
driver payroll costs
measured in real deployments
−4–10%
required vehicle fleet
measured in real deployments
minutes
to recompute the shift set when parameters change
instead of days of manual work

Figures measured in real deployments with real line dispatch. For other industries, the impact is confirmed by test runs on your own data

CAPABILITIES

Related industries

Computing demand under a contract is the same problem in any service with shift-based staff and a vehicle fleet

Public Transit in production

Proven in production: shifts, duties and rosters for drivers and vehicles

Emergency Medical Services

A solution for EMS stations: crew duty around the clock

Fire Services

A solution for fire departments: watch schedules and crew composition

Utilities

A solution for water, heat and power utilities: crews and special vehicle duties
NEXT STEP

Prepare your bid on real numbers

We will show, on your own data, how many shifts, people and vehicles the contract will require — before you bid. Free test runs, with the evaluation methodology agreed in advance

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