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Prosperitas, Engineering Efficiency & Growth

Service

Operations Excellence

Cost-to-serve reduction, supply chain resilience, and process redesign on the ground floor.

Operations team walking a production floor

The problem we are hired for

Cost programmes usually cut in the wrong place because nobody can see cost at the level where it is actually created: the order, the route, the changeover, the exception.

We map cost-to-serve at activity level, then redesign with the people who run the process, so the savings hold after the programme ends.

How we approach it

Cost-to-serve, mapped

Activity-level costing that shows exactly where margin leaks before anything is cut.

Resilient supply chains

Network designs stress-tested against the shocks your sector actually gets.

Frontline process redesign

Improvements designed with the operators who run the process, so they stick.

How the work runs

Four movements with a decision gate after each. You always know where the engagement stands and what it has returned so far.

  1. Baseline

    Activity-level cost and service data, validated on the floor rather than in the ledger.

  2. Redesign

    Process, network, and inventory redesign with the frontline in the room.

  3. Pilot

    Prove the redesign in one site or flow, with the metric movement documented.

  4. Scale

    Roll out with playbooks, training, and a control tower your team owns.

Activity-level cost and service data, validated on the floor rather than in the ledger.

Decision gate: activity-level costs validated on the floor.

Process, network, and inventory redesign with the frontline in the room.

Decision gate: a future-state design the frontline helped build.

Prove the redesign in one site or flow, with the metric movement documented.

Decision gate: documented metric movement in one site or flow.

Roll out with playbooks, training, and a control tower your team owns.

Decision gate: playbooks and a control tower your team owns.

Tooling we deploy

  • SAP
  • Elastic
  • Snowflake
  • Grafana
  • Jira
  • Miro

What it returns

38%
Average cost-to-serve reduction
31%
Average inventory reduction
12
Plants and networks transformed

Related case study

Ostrander Logistics: network redesign

Delivery cost per order down 22% across 40 depots.

Bring us the problem behind the brief.

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