Can we trust our master data?
OutputsWhat you receive
- Findings register — owner, effort, annual cost
- Data-quality scores by domain
- Action plan, ranked by payback
MethodHow we analyse
- JourneyAI — deep-learning gap & dup scan
- Scored by domain, thresholds per tier
InputsRequired of you
- Read-only extract (MB51/2, MARC …)
- One scoping call to set the baseline
- Weekly checkpoint — one point of contact
Typical shapeWhat to expect
- 4–8 weeks, with weekly checkpoints
- Workshop, checkpoints with your analyst
How critical are our assets to throughput?
OutputsWhat you receive
- Criticality grade per asset
- Spares flagged by supply risk & value
- Constraint assets called out
MethodHow we analyse
- JourneyAI — MRO-trained LLM grading
- Plain-language reasoning, spares linked
InputsRequired of you
- Asset register & equipment hierarchy
- Workshop to agree what “critical” means
- Weekly checkpoint — one point of contact
Typical shapeWhat to expect
- 4–8 weeks per process area
- 2 workshops, weekly checkpoints with your analyst
Which inventory balance minimises cost?
OutputsWhat you receive
- Quarterly scorecard — savings vs target
- Change register — reviewer, decision, effect
- ERP upload files, ready to load
MethodHow we analyse
- JourneySim — demand & lead-time simulation
- Candidate changes ranked, each reviewed
InputsRequired of you
- Stock, consumption & purchase history
- A named reviewer to approve changes
- Quarterly review slot — one point of contact
Typical shapeWhat to expect
- Quarterly cycles — 1–2 days each
- Quarterly scorecard review with your analyst
1000 simulations: which Min Max performs best?
OutputsWhat you receive
- Simulated min/max per material
- Comparison vs current — capital released
- Settings exportable to SAP MM / Maximo
MethodHow we analyse
- JourneySim — 1000s of demand & lead-time runs
- Each min/max scored on service vs cost
InputsRequired of you
- Consumption & lead-time history, 2+ years
- Your current min and max, to compare
- A service-level target, or a session to set one
Typical shapeWhat to expect
- 2–3 weeks per material class
- Kick-off with your analyst, then hands-off
Where are our weak points?
OutputsWhat you receive
- Repeat-failure clusters from technician text
- Chronic assets ranked by spend & frequency
- Return ratios — failures to parts spend
MethodHow we analyse
- JourneyAI — NLP over free-text work orders
- Clusters ranked by corrective spend
InputsRequired of you
- Work order & notification export, long text
- Functional location or equipment hierarchy
- Weekly checkpoint — one point of contact
Typical shapeWhat to expect
- 5–7 weeks, ~1 day of your team’s time
- Weekly cluster reviews with your analyst
Can we trust a new asset’s OEM list for initial spares?
OutputsWhat you receive
- Line verdict: buy, reduce, defer, decline
- Modelled failure rates vs vendor MTBF
- Capital delta and its stockout risk
MethodHow we analyse
- JourneySim — simulate from fleet failure rates
- Each line scored on stockout risk vs capital
InputsRequired of you
- Vendor spares list & quoted lead times
- Failure & consumption history, similar assets
- Weekly checkpoint — one point of contact
Typical shapeWhat to expect
- 3–5 weeks per package, with commissioning
- Weekly catch-ups with your analyst
Which vendors are outperforming or underdelivering?
OutputsWhat you receive
- Scorecard per vendor — price, delivery, quality
- Price creep, isolated from volume & spec
- Total cost of ownership, not just quote
MethodHow we analyse
- JourneyAI — deep-learning vendor scorecard
- Promised vs delivered lead time, per material
InputsRequired of you
- PO & goods-receipt history, 2+ years
- Vendor master and agreed price lists
- Weekly checkpoint — one point of contact
Typical shapeWhat to expect
- 4–6 weeks — about a day of your time
- Weekly catch-ups with your analyst
Which vendor should we award, and why?
OutputsWhat you receive
- Ranked shortlist per material
- Evidence behind each ranking
- Audit-ready decision record — reviewer, date
MethodHow we analyse
- JourneyAI — ranks vendors on your history
- Weighs price, reliability, lead time, risk
InputsRequired of you
- Vendor quotes or price lists in scope
- Delivery & quality history to compare
- A reviewer to approve or decline each pick
Typical shapeWhat to expect
- 3–4 weeks to stand up, then per material
- Award workshops with your analyst
How is our supply chain health tracking?
OutputsWhat you receive
- The quarter in one page, for skim readers
- Service vs capital, both vs target
- Recommended actions with owners
MethodHow we analyse
- JourneyAI — reads what shifted this quarter
- One finding worked in depth, not a list
InputsRequired of you
- A refreshed data extract each quarter
- Target or budget changes since last cycle
- One session a quarter to agree actions
Typical shapeWhat to expect
- Quarterly cycle — ½–1 day per quarter
- One review session with your analyst
How are we performing — where are our weak points?
OutputsWhat you receive
- Built to the questions you actually ask
- Stock, movement, dead stock — by plant
- Lead time planned vs actual, drift live
MethodHow we analyse
- JourneyAI — a summary that tracks the data
- Live, filterable by plant and category
InputsRequired of you
- Scheduled extract or read access to the ERP
- A workshop to agree the questions
- Weekly checkpoint — one point of contact
Typical shapeWhat to expect
- 4–8 weeks to build, then live
- Workshop, then weekly build check-ins