The DecoFlow Vision. From connected production to Production Intelligence.
Connect the digital order to what actually happens on the production floor โ then turn trusted production evidence into better decisions.
One production story. Four stages of value.
DecoFlow started by solving a practical production workflow problem. The longer-term opportunity is to connect the order, the physical production floor and the evidence created as work happens.
- Customer
- Product & artwork
- Quantity
- Decoration requirements
- Due date
- Jobs & routing
- Outsourcing & supplier POs
- Goods-in & QR
- Production tasks
- Packing & despatch
- Scan garment or job
- Open production task
- Operator & machine
- Production actions
- Exceptions & outcomes
- Actual time & quantity
- Operator & machine
- Delays & interruptions
- Errors & rework
- Outcome
- Actual vs expected
- Capacity
- Bottlenecks
- Performance & risk
- Decision support
DecoNetwork knows what should happen. DecoFlow connects that order to production and builds the evidence of what actually happened.
Bring the production task to the operator.
The DecoFlow app is more than a mobile version of the platform. Its longer-term role is to connect physical production activity to the digital production record.
Scan the garment, batch or job and open the production task at the point where the work happens.
As DecoFlow develops, those interactions can also create the evidence required to understand production โ connecting the job, process, quantity, operator, machine, time, exceptions and outcome.
Job #12345
250 T-Shirts ยท DTF Front
Operator
J. Smith
Machine
Heat Press 2
Quantity
25 / 250
Instruction
Left chest ยท placement confirmed
Evidence is the bridge.
Orders describe intent. Production activity creates evidence. The objective is a consistent, trusted record of how work actually moved through production.
Turn production evidence into better decisions.
Production Intelligence compares what should have happened with what actually happened. AI can then help the production manager understand the evidence, identify risk and consider what to do next.
A Production Intelligence Resource for the Garment Decoration Industry.
As the evidence grows, so does its potential value.
With sufficient participation and appropriate privacy safeguards, aggregated and de-identified production evidence could create a picture of real-world garment decoration performance that does not currently exist.
Individual businesses understand themselves better. The industry gains better evidence about how production actually performs.
Customer-identifiable production data remains private. Any future shared benchmarks should be aggregated, de-identified and protected by appropriate privacy, participation and cohort safeguards.
Comparable Production Benchmark
DTF pressing ยท T-shirts ยท comparable job profile
Illustrative values only โ not measured industry data.
Connect. Understand. Decide. Improve.
One production story โ from connected workflow to continuous improvement.
A long-term vision with a deliberately narrow starting point.
The immediate focus is a reliable production workflow and successful Early Access. The evidence and intelligence layers build from that foundation โ without trying to turn the MVP into the entire long-term vision.
Connected production workflow, outsourcing, suppliers, goods-in, QR, production tasks, packing, despatch, operators and machines.
Activity, timing, operator, machine, exceptions, errors, outcomes and actual-vs-expected evidence.
Capacity, performance, bottlenecks, risk, exceptions and AI-supported production decisions.
Privacy-safe comparable benchmarks built from sufficiently broad, consistent and contextualised evidence.
