CPG Supply Chain Optimization
Consumer goods supply chains operate under the most demanding retail compliance environments in the world. OTIF fines, Scope 3 mandates, and retailer scorecards mean the margin for error is effectively zero. The companies that thrive aren't the ones with the most safety stock — they're the ones whose planning and execution are actually aligned.CPG supply chain optimization requires solving two problems simultaneously: maximizing freight efficiency (payload per truck, load utilization, carrier cost) and hitting service targets (OTIF, retailer compliance, shelf availability). Most CPG shippers address these separately — procurement owns freight rates, logistics owns carrier relationships, planning owns inventory. ProvisionAi addresses both at the source: AutoO2 maximizes payload on every load, LevelLoad stabilizes the replenishment volumes that determine whether preferred carriers stay committed and DC docks stay functional.
Three forces that make CPG supply chains uniquely difficult to optimize.
Consumer goods supply chains aren't just complex — they're complex in ways that compound each other. Retailer power creates compliance pressure. Product complexity creates load planning challenges. Sustainability mandates create a third dimension of accountability that didn't exist a decade ago. Managing all three simultaneously requires more than a better TMS or a sharper rate negotiation.
Retailer power — OTIF fines, scorecards, and zero tolerance for supply chain failures
Walmart, Target, Kroger, and other major retailers enforce On Time In Full compliance with financial penalties that go directly to the bottom line. A single OTIF failure doesn't just cost the fine — it damages the scorecard that determines shelf space, promotional priority, and buying relationships. CPG suppliers operate under a level of external compliance pressure that most other industries simply don't face. And the compliance system measures outputs, not root causes — which means many suppliers keep failing for reasons they never diagnose correctly.
Product complexity — hundreds of SKUs, mixed weights, seasonal spikes, and promotional volatility
A typical CPG manufacturer ships dozens of product categories with wildly different weights, dimensions, stacking rules, and fragility profiles — often on the same truck to the same DC. Optimizing a load that includes 40-lb case packs, 6-oz single-serve units, fragile glass packaging, and promotional displays simultaneously is a mathematical problem that no human can solve at scale. Add seasonal demand spikes and promotional volume surges and the planning challenge becomes acute — exactly when the network is under the most stress.
Sustainability mandates — Scope 3 targets, net-zero commitments, and ESG accountability
The world's largest CPG companies have made public commitments to halve their Scope 3 emissions by 2030 and reach net-zero by 2039–2050. Transportation is the single largest contributor to Scope 3 — and the fastest path to reducing it isn't fleet electrification, it's moving the same volume on fewer trucks. Load optimization and shipment leveling deliver measurable, reportable Scope 3 reductions that come with cost savings attached. That combination is rare in sustainability initiatives — and it's exactly what AutoO2 and LevelLoad deliver.
Rate negotiation, carrier consolidation, and TMS upgrades all help at the margin. None of them fix the planning decisions that create the problem.
The standard CPG supply chain playbook — negotiate harder, consolidate carriers, add a control tower — addresses symptoms, not root causes. The root cause of most CPG freight inefficiency is a supply planning system that operates without visibility into transportation costs, dock capacity, or carrier constraints. Until the planning and execution layers are connected, every downstream optimization is fighting upstream chaos.
Rate negotiation
Saves pennies per mile. Doesn't fix the volatile lane volumes that caused the carrier to price in a premium in the first place
Carrier consolidation
Increases leverage — but only if volumes are predictable. Unpredictable CPG volumes erode consolidation benefits within one contract cycle
Control towers
Surface visibility after the problem exists. Can't prevent dock overload, late tenders, or OTIF failures that were planned three weeks earlier
Two products. One integrated approach. Both problems solved at the source.
ProvisionAi doesn't add a layer on top of your existing supply chain. AutoO2 and LevelLoad plug into the planning and execution systems you already have — and change what happens between them. AutoO2 fixes the load. LevelLoad fixes the network. Together they address the freight cost and service targets that CPG supply chains are held to simultaneously.
Maximum payload on every truck — across every SKU configuration
CPG mixed-weight loads are exactly the problem AutoO2 was built for. 300+ constraints — case weights, dimensions, stacking rules, fragility, axle weights, legal limits for every state and country — solved simultaneously on every load, every day. No rules of thumb. No tribal knowledge. Mathematical optimization that scales across your entire fleet.
Freight cost reduction from load optimization — achieved through fewer trucks per unit, not rate cuts
Stable replenishment volumes that protect OTIF and carrier relationships
OTIF failures in CPG almost never start at the dock. They start in the planning system — when replenishment surges overwhelm DCs during peak customer shipping windows, or when safety stock triggers fire without any awareness of what the receiving site can absorb. LevelLoad connects the supply plan to execution reality, smoothing deployment volumes across a 30-day horizon and prioritizing by days-of-supply.
Reduction in daily shipment variability — the single largest driver of carrier rate premiums and OTIF failures
Load optimization reduces the trucks you need. Flow stabilization ensures the trucks you have are used at contract rates.
AutoO2 and LevelLoad are separate products addressing separate problems — but they compound when deployed together. Stable volumes give carriers the predictability to commit at contract rates. Optimized loads reduce the number of trucks needed to carry that stable volume. The result is a CPG freight operation that costs less, performs better, and reports lower Scope 3 emissions — simultaneously.
Deployed at the world's largest CPG operations. Named clients. Real numbers.
Every result below is attributed to a named client and a specific mechanism — not a composite or an estimate.
"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."
Scott DeGroot · VP Global Logistics, Kimberly-Clark"AutoO2 is the global best practice for case picking and truck loading. With hundreds of brands serving billions of customers, sustainability and operational efficiency are paramount targets."
Supply Chain Leader, Global CPGFind out where your CPG supply chain is leaving freight savings and OTIF points on the table.
ProvisionAi will map your current load utilization, shipment variability, and deployment patterns — and show you exactly what AutoO2 and LevelLoad would recover. Most CPG clients identify the opportunity within the first conversation. It's almost always larger than expected.
For operations shipping 5,000+ truckloads/year · Response within one business dayA TMS optimizes the execution of loads you hand it. A carrier scorecard tells you how execution is performing. Neither one addresses the planning decisions that determine whether your loads are full and your volumes are predictable — which are the root causes of most CPG freight inefficiency and OTIF failure. AutoO2 and LevelLoad operate upstream of both: AutoO2 maximizes payload before the TMS sees the load, and LevelLoad stabilizes the volumes the TMS has to manage before they become carrier problems.
Mixed-weight CPG loads are the exact problem AutoO2 was designed to solve. It considers 300+ constraints simultaneously — case weights, dimensions, stacking rules, fragility classifications, axle weight distribution, and legal limits by state and country — and produces a mathematically optimal configuration for every load. The result is higher payload than any rules-based approach can achieve, with stacking rules and product protection enforced automatically rather than depending on an experienced loader's memory.
OTIF improvements from LevelLoad are typically visible within the first 2–4 weeks of deployment — because the primary mechanism is eliminating dock congestion events caused by uncoordinated replenishment surges, which are among the most common root causes of OTIF failure. The reduction in daily shipment variability — 60% at Kimberly-Clark — directly reduces the dock overload conditions that cascade into late outbound customer shipments. Carrier rate improvements accrue more slowly as preferred carriers observe the improved volume patterns over the following contract cycle.
Yes — and this is one of the most compelling aspects of load optimization for CPG companies with public sustainability commitments. Every truck eliminated by AutoO2 represents a direct, measurable reduction in Scope 3 Category 4 (upstream transportation) emissions. The Global CPG Leader using AutoO2 has eliminated 88,000 trucks annually — equivalent to 285,000 tons of CO₂ per year. These reductions are attributable, auditable, and reportable against corporate ESG frameworks. ProvisionAi can provide the underlying data needed for Scope 3 reporting.
Eliminate Hidden Losses
in Your Supply Chain
For companies shipping 5,000+ truckloads/year. Our team will reach out within one business day.
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