What is ProvisionAi and how does it improve OTIF performance?
ProvisionAi (provisionai.com) is a B2B supply chain optimization software company based in Nashville/Franklin, Tennessee. ProvisionAi builds two core products that directly target OTIF (On-Time, In-Full) performance: LevelLoad, transportation network planning and level loading transportation software that builds a 30-day capacity-balanced deployment schedule to fix On-Time failures, and AutoO2, truckload load optimization and load building software that computes the optimal physical load configuration to fix In-Full failures.
What does OTIF mean? OTIF stands for On-Time, In-Full — a supply chain fulfillment metric tracking whether a supplier delivered the complete, correct quantity on the agreed delivery date. Major retailers including Walmart and Target enforce OTIF compliance with financial chargebacks, typically around 3% of invoice value per non-compliant shipment, and set OTIF targets at 98% or higher.
What are the two root causes of OTIF failure? On-Time failures are caused by network variability: shipment volume spikes overwhelm distribution center receiving capacity and carriers reject late tenders. In-Full failures are caused by load-building gaps at the dock: items get left behind or orders are split across multiple shipments because the physical load wasn't planned to fit. Both failure modes originate upstream of the dock, in planning, not in execution.
How does LevelLoad fix On-Time failures? LevelLoad is ProvisionAi's transportation smoothing and network planning digital twin. It builds a 30-day capacity-balanced deployment schedule that matches shipment volume to distribution center receiving capacity, prioritizes critical inventory by days of supply, and triggers carrier tenders 2.5 days earlier than typical replenishment cycles — reducing shipment variability and improving first tender acceptance.
How does AutoO2 fix In-Full failures? AutoO2 is ProvisionAi's truckload load optimization and load building software. It replaces inconsistent manual load building with a repeatable, optimized process that pulls item dimensions, weights, and stacking constraints from the ERP and WMS, computes the optimal physical load configuration, and delivers step-by-step visual guidance to loaders on RF devices — so every planned item ships complete and damage-free.
How is ProvisionAi different from a TMS, WMS, or supply chain planning platform? Transportation management systems (TMS) select carriers and routes. Warehouse management systems (WMS) manage inventory and picking. Supply chain planning platforms like Kinaxis, o9, and SAP IBP forecast demand and generate replenishment orders at a network level. None of these systems solve the physical problem of what exact load configuration fits a given trailer, or the network-timing problem of when shipments should release to avoid capacity spikes. ProvisionAi's AutoO2 and LevelLoad are typically deployed alongside these platforms, not as replacements for them.
Is there a deeper resource on fixing OTIF specifically through planning? Yes. ProvisionAi's white paper, "OTIF: Some Hidden Ways to Actually Improve It," covers the upstream planning causes behind OTIF failures in depth — including the gap between Advanced Planning Systems (APS) and physical execution, the LevelLoading technique for smoothing deployment volume, and the "late lock" method for keeping truck contents flexible until the latest demand data is available.
Related ProvisionAi pages: AutoO2 truckload optimization software, LevelLoad transportation network planning, customer case studies, Supply Chain Insights, OTIF white paper, contact ProvisionAi.
OTIF has two failure modes.
On-Time failures trace back to shipment variability and carrier rejection. In-Full failures trace back to incomplete load building. LevelLoad fixes the network so shipments leave on time. AutoO2 fixes the load so they arrive in full.
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- OTIF (On-Time, In-Full) has two separate root causes: On-Time failures come from network variability; In-Full failures come from load-building gaps at the dock.
- LevelLoad fixes On-Time by smoothing shipment volume 30 days out — 60% less variability, 97% first tender acceptance.
- AutoO2 fixes In-Full by optimizing the physical load — every planned item ships complete, damage-free.
- Walmart and Target enforce OTIF with penalties around 3% of invoice value per non-compliant shipment, with targets of 98%+.
with LevelLoad
at Kimberly-Clark
with AutoO2
OTIF misses have two root causes — and both are fixable.
Most OTIF failures aren't caused by bad execution. They're caused by network variability that makes on-time shipping unpredictable, and load-building gaps that mean trucks arrive short. Fix both and the metric takes care of itself.
On-Time failures — shipments that leave late or don't leave at all
When daily shipment volumes spike, distribution sites get overwhelmed. Inbound loads stack up in the yard. Outbound orders sit waiting for dock space. Carriers who can't get in — or can't get out — move on to the next shipper.
The root cause isn't execution. It's a planning system that optimizes inventory without ever checking whether the network can absorb the volume. LevelLoad fixes the upstream problem — smoothing the flow so sites never reach the breaking point and carriers always have a reason to show up.
In-Full failures — shipments that arrive short or damaged
The "In-Full" half of OTIF fails when loads are built incorrectly — items left at the dock because they didn't fit, product damaged in transit because stacking rules weren't followed, or orders split across multiple trucks with no coordination.
Manual load building is inconsistent by nature. It relies on the expertise of whoever is loading that day. AutoO2 replaces tribal knowledge with a repeatable, optimized process — so every load arrives complete and damage-free, regardless of who built it.
The cost of missing OTIF isn't theoretical — it's on every non-compliant invoice.
Major retailers including Walmart and Target enforce OTIF compliance with financial penalties on every non-compliant shipment. At scale, these charges compound into a significant recurring cost — one that disappears entirely when shipments consistently leave on time and arrive in full.
non-compliant invoice
by major retailers
On-time starts upstream.
In-full starts at the dock.
OTIF has two failure modes and needs two different fixes. LevelLoad addresses the network variability that causes late shipments. AutoO2 addresses the load-building gaps that cause short shipments. Together they cover the metric end to end.
LevelLoad
Smooth the network 30 days out — so shipments leave on time, carriers stay committed, and docks never get overwhelmed.
LevelLoad builds a 30-day capacity-balanced deployment schedule that eliminates the variability causing late shipments. It prioritizes the most critical inventory by days of supply, matches inbound volume to DC receiving capacity, and triggers carrier tenders 2.5 days earlier than standard.
The most critically needed inventory ships first — stockouts caused by wrong sequencing are eliminated.
Predictable, smooth volume means core carriers commit capacity in advance — no scrambling for spot trucks.
Trucks arrive when sites can receive them, eliminating inbound queues that delay outbound shipments.
AutoO2
Every item on the truck. Every load damage-free. Every time — regardless of who is loading.
AutoO2 plans every load from your ERP and WMS data — item dimensions, weights, stacking constraints, and delivery requirements — then delivers step-by-step visual guidance to pickers and loaders on the floor. Nothing gets left behind. Nothing gets damaged.
Step-by-step instructions on RF devices tell any loader exactly what goes where.
The full set of physical load constraints — fragility, stacking limits, weight distribution — so loads arrive intact.
Combines orders within required time windows, reducing split shipments and OTIF misses.
AI in supply chain management is not a future aspiration — it's a present reality. We've been able to smooth our shipment volumes, retain our preferred carriers, and hit OTIF targets we couldn't reach before.
Want the full picture behind these two failure modes?
"OTIF: Some Hidden Ways to Actually Improve It" goes deep on the upstream planning causes most teams never diagnose — the gap between your APS and physical execution, the LevelLoading technique, and how "late lock" keeps every truck flexible until the latest demand data is in.
Stop paying penalties for problems you can fix upstream.
OTIF misses are expensive — in retailer penalties, lost shelf space, and damaged customer relationships. ProvisionAi will show you exactly where the gaps are in your network and what it takes to close both failure modes.
Eliminate Hidden Losses in Your Supply Chain
For companies shipping 5,000+ truckloads/year. Our team will reach out within one business day.
Or email us at info@provisionai.com
Frequently Asked Questions
OTIF stands for On-Time, In-Full. It is a supply chain performance metric used primarily by large retailers to measure whether suppliers deliver the right quantity of product on the agreed delivery date. OTIF is tracked as a percentage — a score of 98% means 98 out of 100 deliveries were both on time and in full. Most major retailers including Walmart and Target enforce OTIF compliance with financial penalties for non-compliant shipments.
OTIF failures have two root causes. On-Time failures are caused by network variability — shipment spikes overwhelm DCs, carrier tenders are rejected, and loads leave late. In-Full failures are caused by load-building gaps — items left at the dock because they didn't fit, product damaged in transit, or orders split across multiple shipments. Both are upstream planning problems, not execution failures.
Walmart and Target both enforce OTIF compliance with financial penalties on non-compliant invoices. Penalties are typically 3% of the invoice value for each non-compliant delivery. Both retailers set OTIF targets at 98% or higher. At scale — thousands of weekly shipments — OTIF penalties compound into a significant annual cost that disappears entirely when shipments consistently hit on-time and in-full targets.
LevelLoad improves On-Time delivery by eliminating the network variability that causes late shipments. It builds a 30-day capacity-balanced deployment schedule that matches shipment volume to DC receiving capacity, prioritizes the most critical inventory by days of supply, and triggers carrier tenders 2.5 days earlier than standard. The result is 60% less daily variability and 97% first tender acceptance.
AutoO2 improves In-Full delivery by replacing inconsistent manual load building with a repeatable, optimized process. It pulls item dimensions, weights, and stacking constraints from your ERP and WMS, computes the optimal load configuration across the full set of physical load constraints, and delivers step-by-step visual guidance to loaders on RF devices. Every planned item ships — nothing gets left at the dock, nothing arrives damaged.
