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Transformation for operations that grow through efficiency.E-commerce operations, faster and ready to scale.

Transform

Process, data and automation matched to business speed. Efficiency rises measurably; cost drops visibly.

Reading lens
Average process time
-%42
Operational cost
-%28
Pilot to scale
6-12 hafta
Method

No prescription without diagnosis.

From production line to ERP, from supply chain to business intelligence — process analysis, automation design and implementation under one roof. ROI calculated at every step; cost reduction measured.Order flow, inventory sync, customer segmentation — operational bottlenecks identified, automation deployed. Less manual work; growth blockers removed.

  1. 01

    Process mapping

    As-is state. On-site observation, process owner interviews, data flow map.

  2. 02

    Audit & prioritization

    The 3-5 processes with highest ROI potential. Projection for each.

  3. 03

    Pilot

    4-8 week pilot on a single process. Test the hypothesis against reality.

  4. 04

    Scale + knowledge transfer

    If the pilot works, hand off to the internal team. The consultant leaving is part of success.

Services

The expertise at the core.

  1. 01

    Production quality control, demand forecasting or maintenance scheduling — where AI fits, where it doesn't. Diagnosis and pilot; cost and efficiency impact measured.Product recommendation engine, cart abandonment prediction, customer segmentation — AI with measurable conversion and LTV impact. Diagnosis, pilot, production.

  2. 02

    ERP modernisation, production planning, supply chain — which system to build in which order is determined by ROI projection. Not all of it; the right part.Order-ERP-inventory sync, OMS setup, logistics integration — operational friction removed so order volume no longer caps growth.

  3. 03

    Production reporting, procurement approval, quality control flow — permanent workflows, audit-ready and compliant. Handed over to the internal team after pilot.Order processing, returns flow, customer notifications, campaign triggers — manual work eliminated, operations scale with order volume.

  4. 04

    Production KPIs, cost analysis, supply chain visibility — in one dashboard. Leadership makes decisions from the same data every week.Channel-level ROAS and CAC, product margin analysis, customer segment performance — growth decisions backed by data, not guesswork.

  5. 05

    Factory process mapping and bottleneck analysis. Flowchart before tooling — efficiency gains without capacity investment.From fulfilment process to customer communication — operational bottleneck identified, infrastructure readied before scaling.

Questions

Frequently asked questions

Which services sit under Transform?

Transform carries five services: digital transformation, AI advisory, business intelligence, business automation and operations engineering. All five answer one question at different layers — where the work slows down, what that delay costs, and which step can measurably speed up. Which service comes into play is decided by the process map, not chosen up front.

Where does the work start?

Every Transform engagement starts with process mapping. We observe on site, interview process owners and draw the data flow; the target state is not discussed before the current state is written down. The automation decision comes after that map, because automating without one simply repeats an existing fault at higher speed.

Which process gets automated first?

The queue holds the three to five processes with the highest return. The audit step writes a separate ROI projection for each candidate, and that projection sets the order. The process with the biggest loss goes first, not the one that happens to suit the technology. Candidates left off the list are not discarded; they get reassessed in the next cycle.

Why is a pilot mandatory?

The pilot exists to test the projection against reality. A four to eight week pilot runs on a single process, and no scaling happens before the hypothesis is measured. An automation rolled out across the organisation multiplies its own mistakes at the same scale; the cost of the pilot stays small next to the cost of correcting that mistake everywhere.

What happens if the pilot underdelivers?

A pilot that misses its target does not scale. Its function is to test the scaling decision in a small area; a negative result is still a result, and it protects the rest of the budget. Findings get written up, the process map is revisited and the next candidate is assessed. In many cases the pilot shows the problem lies in the process itself rather than in automation.

How is ROI calculated?

The calculation runs on process time and operational cost. Step durations and cost items are measured while the current state is mapped, then measured again after the pilot with the same method, and the delta goes into the report. Across Transform engagements we record an average 42% drop in process time and 28% in operational cost.

Where does AI sit in this discipline?

AI comes in at the steps whose input has no fixed shape. Rule-based automation carries repeating flows with a stable format, while steps like technical questions, document reading and matching call for a model rather than a rule set. At Meccanotecnica Umbra an engineer describes their plant and the system lays out the right equipment in a single form — quote requests rose tenfold.

Transform or Build — which one fits us?

Transform fits when the existing system can be improved, Build when it cannot. Transform connects, automates and measures what already runs; Build writes the system from scratch when nothing covers the need. Process mapping usually settles the question on its own, because the map shows plainly which steps are running with no system behind them.

How long does pilot-to-scale take?

The move takes 6-12 weeks on average. The span depends on how many systems the automated process talks to and on the quality of existing data; more integrations mean a longer schedule. The pilot period sits before this window, not inside it. Where data quality is poor, a significant share of the schedule goes to cleaning, and that time is written into the plan up front.

Can our internal team take the system over?

Handover is the goal itself. The scaling step runs alongside knowledge transfer: documentation, working cadence and system access move to the internal team. The consultant leaving is part of success, not a sign of failure. An automation that cannot be handed over frees the organisation from one system only to tie it to a consultant, and that trade is not an improvement.

Can several disciplines run at once?

The disciplines can share a schedule. Transform lifts the operational load while Growth raises demand and Build writes the missing system. The condition is a shared measure: unless all three report to the same dashboard, a gain on one side quietly erodes on another. That shared view also makes the sequencing question something the team can argue about with evidence.
Selected case

10× more quote requests, driven by an AI technical advisor.

Meccanotecnica Umbra is the Türkiye arm of one of the world's leading mechanical seal manufacturers, yet its technical visibility in the local market lagged behind its global standing. We connected the product catalogue to an AI advisor that lays out the right equipment for an engineer describing their plant, and to a quote portal. Quote requests rose tenfold and response time dropped by ninety percent.

View
Quote requests
10×
Faster response
90%
Monthly organic impressions
15,000
Google ranking
Top 5

Where do we start?

Three entry doors at three speeds. Pick the one that fits.

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