Operator-grade execution across operations, supply chain and the tech that runs them.
Operational excellence wired into the supply chain — inbound to last mile, forward to reverse — and into the tech that runs it. No/low-code where it fits, AI where it earns its keep.
On the floor and in the data, not just on paper. No magic bullets — just working operators shipping in production this week.
Standard work and decision rights cut a 40-person ops org's daily firefights by half in eight weeks.
Six 3PLs into two, parallel-run through peak. 22% out of annual logistics spend, OTIF up 11 points.
No/low-code internal tooling and a context-aware CS agent — 47% deflection with CSAT flat-to-up.
Average across recent network rebuilds.
After scheduling and workflow rework.
Reverse logistics redesign across EU + NA.
Working artifact in production, not a deck.
Six 3PLs into two, without missing a peak.
Network rebuild across EU + NA — RFP, cutover, parallel run. Annual logistics spend down 22%, on-time up 11 pts, one set of SLAs.
Support agent with real product context.
CS agent grounded in product, order and policy data. Self-improves from human overrides — deflection at 47% with CSAT up, not down.
Claims & reconciliation, one workflow.
Carrier claims, marketplace chargebacks and 3PL invoices reconciled in one place. Recovered ~1.4% of revenue previously written off.
Returns portal that pays for itself.
Customer-facing returns with grading, restocking and resale routing. 18% of returned units back to A-stock within 72h.
Operations & org design.
Founder-led to function-led without breaking what works. Cadences, decision rights, escalation paths — the unglamorous wiring that lets a company scale.
Global supply chain & 3PL.
Inbound, production, forward distribution, last mile and returns — designed as one network. Multi-3PL orchestration, omnichannel fulfilment, customs and intercompany done properly.
Tech scoping & no/low-code build.
We scope the stack, then build it — internal tools, integrations and workflows on no/low-code where it makes sense. AI is in the toolkit, not the headline: used where it earns its keep, ignored where it doesn't.
Architecture & data.
Planning, data and lifecycle systems built to scale. Specs operators can build from and engineers don't have to translate.
On the floor and in the data — not just on paper.
Op-ex isn't a slide deck or a maturity score. It's the daily operating rhythm — what gets measured, who decides, how exceptions are caught, and how the system learns. We work both sides: the physical flow and the data that runs it.
Where the work actually happens.
- → Standard work, takt and shift cadences that hold under stress.
- → Decision rights and escalation paths — fewer meetings, faster calls.
- → Visual management on the line, not buried in a BI tool.
- → Supplier, 3PL and carrier reviews that change behaviour, not optics.
A system that sees itself.
- → One source of truth for orders, stock and shipments — across systems.
- → Exception queues with owners, SLAs and a feedback loop.
- → Reconciliation built in — claims, chargebacks and invoices closed weekly.
- → AI used selectively, where the data and the cost case both stand up.
Mostly scale-ups past the founding team, before the McKinsey budget.
PE- and VC-backed brands with ambitious EBITDA timelines. If your problem doesn't fit a single function, we should talk.
A small number of engagements at a time. Remote-first. Sweden / EU / NA. English or Swedish.
Run by operators currently in scale-up COO and ops leadership roles.
Same standards inside and out. Based in Sweden, working across EU and North America.
Sweden — working across EU & North America.