Operations and finance. Chief Supply Chain Officer
AI for the Supply Chain Office
The plan was right on Monday. By Wednesday the world had moved.
Demand shifts, a supplier slips, a port backs up and the plan is out of date before anyone notices. Planners spend their week firefighting in spreadsheets. We map the Supply Chain Office the way your team actually plans and moves goods, then put agents where they keep the plan in step with what’s really happening.
The short answer
It keeps the supply chain in step with reality. Agents replan on live demand and supply signals, watch suppliers, routes and regions for risk, rebalance stock across sites before it runs short and track every shipment to the door.
Your planners keep the judgment and the trade off calls. The agents do the watching and the recalculating, so problems surface while there’s still time to fix them cheaply.
The mandate
The right stock, in the right place, at the right cost. Whatever the world throws at the plan.
What the board measures you on
Service level
On time in full to customers
Inventory
Days of stock and working capital
Forecast accuracy
By product, site and channel
Logistics cost
Including premium freight
Resilience
Disruptions and time to recover
Supply chain emissions
Transport and supplier Scope 3
The canvas of the Supply Chain Office
Most supply chain AI is a better forecast. The bigger gains sit between the forecast, the supplier, the warehouse and the truck.
Canvas 1
What you run
Plan, source, make and move.
Demand and supply planning
Forecasts, supply plans and sales and operations planning.
Inventory
Stock levels, safety stock and allocation across sites.
Warehousing
Distribution centres, picking, packing and returns.
Transport and logistics
Carriers, routes, freight and customs.
Supplier collaboration
Orders, confirmations and capacity, with procurement.
Canvas 2
What you answer for
The things the COO, the CFO and customers hold you to.
Customer promises
Delivery dates and service levels in every contract.
Working capital
The cash tied up in stock and in transit.
Supply resilience
Single sources, critical routes and recovery plans.
Compliance and emissions
Customs, product rules, due diligence and transport emissions.
Where value leaks
Each one starts as a small gap between the plan and reality. Left alone for a week, it turns into a stockout, a premium freight bill or a missed customer promise.
01
Plans out of step with demand
The forecast updates monthly. Demand changes daily.
Planning agents. Replan on live orders, sell out and market signals and set out the trade offs for a planner to approve.
Forecast accuracy
Plan changes caught early
02
Supplier risk spotted late
A supplier problem shows up when the order doesn’t arrive.
Risk agents. Watch supplier health, confirmations, ports, weather and news and link them to your orders and stock.
Disruptions caught early
Time to recover
03
Stock in the wrong place
One site runs short while another sits on months of cover.
Inventory agents. Compare demand and stock by site every day and suggest transfers before the shortage hits.
Inventory days
Stockouts
04
Shipments nobody can see
Status sits in carrier portals and emails, so delays surface at the customer.
Visibility agents. Read carrier updates, emails and tracking data, predict late arrivals and alert the customer team.
OTIF
Customer delay alerts
05
Premium freight by habit
Expediting becomes the fix for every late plan.
Logistics agents. Compare options for each urgent shipment, flag avoidable premium freight and trace it back to the root cause.
Premium freight cost
Cost per shipment
06
S&OP decisions made too late
Teams spend the cycle building the numbers, not deciding.
S&OP agents. Prepare demand, supply and financial scenarios before the meeting, with the gaps and options ready.
Time to decision
Plan adherence
Process lifecycles
We start from the planning, warehouse and transport systems you already run. The orange steps are where an agent takes on the work, so planners spend their time on decisions, not data.
Sales and operations planning
Monthly, updated weekly
Demand plan
From live signals
Agent
Supply plan
Against real capacity
Agent
Reconcile
Scenarios and gaps
Agent
Executive meeting
Execute
Typical systems. Kinaxis, o9, Blue Yonder, SAP IBP, Excel
Inbound supply
Every purchase order
Order
Supplier confirms
Checked against the plan
Agent
In transit
Tracked and predicted
Agent
Receive
Put away
Typical systems. ERP, supplier portals, project44, FourKites
Order to delivery
Every customer order
Order
Allocate
From the best site
Agent
Pick and pack
Ship
Track
Delays flagged early
Agent
Deliver
Typical systems. Manhattan, SAP EWM, Oracle Transportation Management, carrier platforms
Disruption response
When something breaks
Signal
Supplier, route, weather, news
Agent
Assess
Products and customers exposed
Agent
Options
Costed and compared
Agent
Decide
Act
Typical systems. Risk feeds, Resilinc, Everstream, ERP
Agent intervention point
The Supply Chain control tower
Not five systems and a spreadsheet. A live view of service, stock and risk across the network, with a brief on what needs a decision before it costs you.
Illustrative
Supply Chain control tower
Sample data to show the view. Not client results.
OTIF
93.4%
▼ 1.2 pts
Inventory days
61
▲ 4 days
Forecast accuracy
78%
▲ 6 pts
Stockouts
2.1%
▼ 0.8 pts
Premium freight
€410k
This quarter
Open disruptions
4
1 critical
This week’s supply chain brief
Disrupt
Port congestion in Rotterdam adds 4 days to 31 inbound containers
Eleven products below safety stock by week 3. Options costed
Demand
Heatwave lifts beverage demand 18% in two regions
Plan updated. Transfers from the central DC proposed
Freight
62% of premium freight this month traced to late supplier confirmations
Root cause sent to the Procurement Office
Saved
Rebalancing between DCs avoided 140 stockouts
No extra stock added. Inventory agent
Days of cover by distribution centre
Central DC
74
North
52
East
35
South
14
South below its 21 day target. Transfer from Central DC suggested for approval.
Illustrative example. Figures are invented to show how the view works. In discovery we build it on your own data and KPIs.
Your industry changes the agenda
The canvas stays the same. What moves, how fast and how far does not. Here’s the question we hear most from supply chain leaders in each industry, and where agents help first.
CPG
How do we plan around promotions retailers change at short notice?
Promotion aware demand replanning
FMCG
How do we keep shelves full without drowning in short dated stock?
Shelf life aware inventory rebalancing
Retail
How do we get the right stock to each store for each season?
Store level allocation and transfers
D2C
How do we promise fast delivery without stock in every warehouse?
Order allocation and delivery promise
Automotive
How do we keep lines running when one part is missing?
Part shortage sensing and supplier risk
Healthcare
How do we avoid shortages of critical medicines and supplies?
Critical item risk and stock rebalancing
Energy
How do we get spare parts to remote assets before they fail?
Spare parts planning from asset data
Manufacturing
How do we match production plans to real supplier capacity?
Supply plan checked against confirmations
Logistics
How do we tell customers about delays before they ask?
Shipment visibility and delay prediction
BFSI
How do we understand supply chain risk in the companies we lend to and insure?
Supply chain risk sensing for portfolios
B2B technology
How do we manage hardware supply and lead times for our customers?
Component lead time and allocation agents
How the Supply Chain Office connects
A supply plan only works if procurement buys to it, operations builds to it and finance funds the stock. The agents that serve the Supply Chain Office share the same platform and data as those offices, so a change in one shows up in all of them.
How we’d start
Pilot 1
Live replanning on one product family
↳
Planning agents on a volatile product family or region
↳
Plan updated on live demand and supply signals, trade offs set out for planners
↳
Measured on forecast accuracy, stockouts and inventory against your current process
Your decision
Whether to extend it across the portfolio.
Pilot 2
Shipment exceptions on one lane
↳
Visibility agents on a busy inbound or outbound route
↳
Delays predicted from carrier data and emails, with options costed
↳
Measured on OTIF and premium freight for that lane
Your decision
Whether to run it across every lane and carrier.
Both run under our Validation First Framework. They’re tested on your own data before you commit a larger budget, and if the numbers don’t hold, we tell you.
Your intervention map
Bring your network map, your service and stock numbers and the disruption you remember most. We bring the Supply Chain Office canvas. In one session we map it to your systems and partners, and mark where agents would pay back first.
01
Your Supply Chain Office canvas
What you run and answer for, checked against how your planners, warehouses and carriers really work.
02
Your value chain
The canvas placed on your industry and your network, with the systems behind every plan and shipment.
03
Your intervention points
Each leak with an agent design, its controls and the KPI it moves. Delivered as a mind map, an architecture view or an interactive dashboard.
AI for the Supply Chain Office, answered
What can AI do for the Supply Chain Office?
Agentic AI keeps the supply chain in step with reality. Agents replan on live demand and supply signals, watch suppliers, routes and regions for risk, rebalance stock across sites before it runs short and track every shipment to the door. Planners get the trade offs set out, and they make the call.
How does AI improve demand forecasting?
By using more signals and updating more often. Forecast agents blend orders, point of sale data, promotions, weather and market signals, and update the forecast as they change. They explain each change in plain language, so planners can trust it or challenge it.
Can AI predict supply chain disruptions?
It can spot them earlier. Risk agents watch supplier health, port and route conditions, weather, news and sanctions, and link them to your own orders and stock. When something changes, they show which products and customers are exposed and what the options are.
Can AI reduce inventory without hurting service?
Yes, mainly by putting stock in the right place. Inventory agents compare demand and stock by site every day, suggest transfers before shortages happen and review safety stock against real variability. The goal is the same service level with less stock tied up.
Do we need a new planning system?
No. Agents work with Kinaxis, o9, Blue Yonder, SAP IBP, your ERP, warehouse and transport systems, and the spreadsheets planners still rely on. They fill the gaps between those systems rather than replacing them.
Where should a supply chain leader start with agentic AI?
With one product family or one lane. Live replanning on a volatile product family, or shipment exception agents on a busy route, both show results within a quarter in service level, stock or expediting cost.
