The OTIF report shows 84%. Nobody knows which 16% failed, or why.
OTIF is measured after the fact. The report arrives at the end of the week showing 84% on-time in-full performance — but the data behind the number is a list of order IDs, not a root cause. Was it a production delay? A quality hold? A truck that arrived late? A picking error? Each failure has a different root cause and a different fix — but without tracing each miss back through the fulfilment chain, the operations team is managing a metric, not the problem.
The second failure mode is timing — OTIF risks are visible well before the delivery window closes, but only if someone is watching the right signals. A production work order that is running 3 hours behind schedule will cause an OTIF miss in 12 hours. A quality hold raised at 11 AM will delay a Thursday dispatch. These risks are knowable in advance — but most operations only discover them when the truck leaves late or the customer calls.
OTIF is not a logistics metric — it is the output of a connected chain from confirmed order to delivery. HublerX tracks every confirmed customer order through that chain in real time — production schedule adherence, quality clearance status, picking completion, truck loading, and delivery confirmation. When any step in the chain falls behind the timeline required to meet the delivery window, HublerX flags the risk and surfaces the root cause before the miss happens. When a miss does occur, the root cause is already recorded — production, quality, dispatch, or logistics — so the fix is targeted, not generic.
Live workflow view
The step-by-step sequence
- 1
Every confirmed order tracked from production to delivery
When a sales order is confirmed, HublerX creates a fulfilment timeline — the work order that needs to complete, the quality clearance required, the picking and loading window, and the delivery slot. Every step is tracked against the timeline from day one.
On sales order confirmation - 2
OTIF risks flagged before the window closes
When any step in the fulfilment chain falls behind the required timeline — a WO running late, a quality hold, a picking delay — HublerX calculates whether the delivery window can still be met and flags the risk to the relevant function with the time remaining to intervene.
On any fulfilment delay - 3
Root cause identified at point of risk
HublerX records the root cause of every OTIF risk at the moment it is flagged — production delay, quality hold, material shortage, picking error, truck delay, or carrier failure. The root cause is linked to the specific order and delivery record, not inferred after the fact from a report.
On risk flag · automatic - 4
Recovery options surfaced
Where the delivery window can still be met with intervention, HublerX surfaces the recovery options — prioritise the WO, expedite quality clearance, allocate an additional picker, rebook a faster truck. The logistics coordinator or plant manager acts on a recommendation, not a blank page.
Simultaneously with risk flag - 5
Customer proactively notified on confirmed misses
Where a miss cannot be recovered, HublerX surfaces the at-risk delivery for commercial team action — with the revised estimated delivery date and the root cause — so the customer is notified before the delivery window closes, not after they have called to chase it.
When recovery not possible - 6
OTIF dashboard and root cause analysis maintained
Every delivery — on time or late, in full or short — is recorded with the full fulfilment timeline and root cause. The OTIF dashboard shows live performance by customer, SKU, route, and root cause category — so the operations review focuses on systemic fixes, not individual chase calls.
Continuous · updated on every delivery
Results are directional. OTIF improvement depends on the root cause distribution specific to each operation and the actions taken on the root cause data.
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