Solutions & services
First decide what to improve. Then decide how we work together.
Make delivery more reliable, inventory healthier and operating decisions clearer. Start with a defined problem, or establish a shared direction through a diagnostic and transformation blueprint.
Choosing an entry point
- ·The problem is already clear → go straight to that challenge
- ·The direction is unclear → start with a diagnostic
- ·Alignment is needed → start with a blueprint
- ·You want to apply AI → start with a scenario assessment
Business challenges
Three problems, each one a place to start.
Choose the priority that matters most today. Connect processes, data, systems and ownership around it, then extend the work as the operating model takes shape.
Plans keep changing, and dates still depend on daily expediting.
Lateness surfaces at the end of the chain while its causes sit across promise, change, readiness, planning and exception closure. The program connects six classes of operating fact onto one order thread so risk becomes visible earlier.
- One baseline for orders and milestones
- Readiness and shortage warning on critical material
- Exceptions carry an owner, a commitment and an escalation path
Stock keeps rising while critical material is still short.
A one-off clean-up does not stop risk stock from regenerating. The program aligns the obsolescence definition first, then connects future demand, disposal ownership and cash efficiency - turning clean-up into a running capability.
- Definition rules for five inventory classes
- An identify–decide–act–prevent loop
- Named ownership for disposal progress and warnings
Every function has dashboards, and judgments still diverge.
Visibility is not another screen. Planning, purchasing, production, quality, inventory and cost have to work around the same business objects and definitions before data turns into management action.
- One set of business objects and metric definitions
- Planning, shop floor and cost connected end to end
- Exception closure and a review mechanism
Ways we help
A practical starting point for each stage.
Reference investment shows a typical range. The actual figure follows scope, number of sites and client involvement, and is confirmed in writing in the proposal.
Operations & digital diagnostic
Management decision: Which problems deserve investment, and what comes first in the next 90 days?
For companies whose direction is unclear, whose functions disagree, or who are about to start a new round of systems and AI work.
- Operating problem map
- Capability maturity assessment
- Scenario value and feasibility matrix
- Data, system and organizational breakpoints
- A 90-day recommendation
Transformation blueprint
Management decision: How should future capability be built, and in what order do projects and investment run?
For multi-plant, multi-business-unit, group and globalising manufacturers.
- Strategy and value themes
- Business and capability blueprint
- Application and data architecture
- AI scenarios and their preconditions
- A 2–3 year roadmap
Capability build & delivery
Management decision: How do we build what was agreed, get it used, and keep it running?
For companies with a blueprint, a program design or a clear business target that now need implementation and operation.
- Process and operating standards
- Working system capability
- Trusted data and a metric system
- Organizational adoption and capability transfer
- Operating metrics and a review mechanism
AI scenario assessment
Management decision: Which real task is worth AI, who confirms it, and how is it measured?
For companies with AI pilots that have not produced stable value, or preparing to introduce AI for the first time.
- Candidate work with frequency and effort checked
- Required business facts and data gaps
- A human / AI / rule-tool division of work
- Human approval points and owning roles
- The measure of success and the stop condition
Service map
A way forward that fits your business.
Growth, multi-plant coordination and global expansion create different operating demands. Shape the engagement around your priorities and organization.
| Client × engagement | Diagnostic | Blueprint | Capability build | AI assessment |
|---|---|---|---|---|
| Growing manufacturers | Delivery and inventory pressure rise together - separate the two | A light blueprint: fix the system and data order for two years | First ERP / MES / data foundation, with key users developed | Start the assessment from one high-frequency checking task |
| Group & multi-plant companies | Units disagree - align the operating facts first | Group control boundaries, multi-plant capability blueprint and portfolio | Platform replication: standards, templates, group data and metrics | Shared judgment rules and approval mechanisms across plants |
| Global industrial companies | Domestic and overseas operations drift apart - locate the breakpoints | A phased architecture for global sales, supply chain and governance | Multi-site rollout, data compliance and operating boundaries | Assess cross-region data availability and access first |
How the work runs
Every step has a decision and an acceptable result.
Whichever engagement you start with, the rhythm is the same: establish the facts, form the plan, then validate it against real work.
Confirm the problem, its impact and the conditions to start.
Establish shared definitions, evidence and value targets.
Make the process, system, data and organizational actions explicit.
Run it against real cases and close the problem.
Review against metrics, then extend the capability to more units.
NEXT STEP
Bring the operating problem
you most want to change.
Delivery, inventory, operating visibility or a workflow where AI could help. Share your situation and priorities so we can identify a practical next step together.