Client project · Manufacturing
Spare parts and materials planned across every plant — demand forecast, safety stock set and reorders raised automatically.
01 / 05
We built this inventory platform for a manufacturer with several plants and warehouses. It forecasts demand even for slow-moving spare parts, sorts every item by value and how predictable it is, sets safety stock and reorder points from real supplier lead times, recommends transfers between plants before anyone buys more, and routes purchase recommendations through approval limits straight into the ERP.
02 / 05
Who it was built for, what it runs on, what it connects to and the rules it follows.
Approvals
Spending limits
Recommendations route to the planner, plant head or VP supply chain depending on value.
Exact rules
No AI in the money maths
Reorder quantities and budgets are calculated by fixed business rules, so every number can be checked.
History
Audit trail
Every recommendation is stored with the settings that produced it.
Access
Role-based
Separate access for planners, plant managers, supply chain heads and finance.
03 / 05
What the system was designed to do for the client's teams.
01
Demand models built for spare parts that are used rarely and unevenly, not just steady consumables.
02
Every part grouped by how much it's worth and how predictable it is, with alerts when that changes.
03
Safety stock and reorder points reset daily from real supplier lead times and target fill rates.
04
Recommends moving surplus stock between plants before buying more.
05
On-time, in-full delivery tracked per supplier, with alerts for single-source critical parts.
06
Test changes to lead times or stock policies across the whole catalogue before applying them.
04 / 05
What Fortiv built, what it connects to, and what passes between them.
Data sources
Streaming & data
Intelligence engine
Approval & audit
Interfaces
05 / 05
Capital tied up in stock has fallen, stockouts on critical lines are rare, and planning takes a couple of hours a day instead of most of the week.
Figures as reported by the client.
18–32%
Less working capital tied up in stock
85–95%
Fewer stockouts on critical lines
2 hrs
Daily planning time, down from 5 days a week
Manufacturing & Supply Chain
Supply chain control for manufacturing plants — demand forecasts, stock across warehouses, purchase approvals and invoice checks in one place.
22–32%
Lower inventory carrying cost
Real Estate & Construction
Every property enquiry called back in under 30 seconds by an AI voice agent — qualified, scored and booked for a site visit.
< 30s
To call back a new enquiry, down from 4–24 hours
Real Estate & Construction
Every site engineer works from the latest approved drawing — checked by scanning the QR code on the printed sheet.
6–12 hrs
Consultant answers to site queries, down from 2–4 days
HR & IT Services
Recruitment on autopilot for staffing agencies — CVs screened, candidates called and interviewed by AI, shortlists ready in hours.
< 4 hrs
From CV to client shortlist, down from 3–5 days
See AI-Native Inventory Management Platform on your workflow
Book a demo and bring the process you want to improve. We'll walk through how the system would connect to your data and tools, and what an implementation would involve.
