A Greener Supply Chain With Enhanced Planning Technology

By improving supply planning outputs with efficient load optimization and level loading, companies can save money and reduce CO₂ emissions. ProvisionAi leads the way in sustainable digital transformation, offering a meaningful step toward greener supply chains and Scope 3 emissions reductions. This article explores:

• The rising demand for green supply chains from companies and consumers
• How current planning approaches hurt sustainability
• How efficient load optimization can remove trucks from the road
• The dual benefits of AutoO2 — saving money and reducing Scope 3 emissions
• How LevelLoad helps carriers reduce deadhead miles

Growing Demand for a Greener Supply Chain

Consumers and companies alike are driving the push for more sustainable supply chains. According to the Carbon Trust, nearly half of all shoppers (45%) would abandon their favorite brands if those brands failed to measure their carbon footprint, while 56% would stay more loyal to brands actively reducing emissions.

In response, many companies are addressing their Scope 3 emissions, which make up most of their carbon footprint and are, on average, 11.4 times greater than operational emissions.

Manufacturer giants leading this shift include:

• PepsiCo: Committed to a 40% reduction in indirect emissions across the value chain by 2030, using a 2015 baseline.
• Unilever: Targeting a 42% absolute reduction in Scope 3 energy and industrial emissions, benchmarked against 2021 levels.
• General Mills: Aiming to reduce full value-chain greenhouse gas emissions 30% by 2030, with net-zero by 2050.

These commitments reflect the industry’s growing emphasis on sustainability.

Current Planning Approaches Hurt Sustainability

Supply chain emissions usually bring to mind eco-friendly transportation — electric trucks, alternative fuels. Fewer people think about supply planning itself as a lever for greening the supply chain, but planning decisions play a significant role in how much CO₂ a network generates.

Even modern Advanced Planning and Scheduling (APS) software rarely accounts for the downstream carbon impact of its decisions. A few ways this siloed approach adds unnecessary carbon and cost:

• Underutilized replenishment vehicles — a study we conducted across 158,000 vehicles using Georgia DOT data found that over 90% of replenishment vehicles were running with significant unused capacity, wasting fuel and generating avoidable emissions. Fully loading those vehicles could eliminate a meaningful share of annual truck trips.
• Volatile deployment plans — the way most APS software works produces highly volatile deployment plans. Poorly optimized plans force reliance on non-preferred carriers, driving up cost and deadhead miles (empty return trips) — often with carriers that don’t follow EPA SmartWay standards.
• Ignored capacity constraints — most APS systems don’t account for warehouse space or labor availability, causing delays that increase emissions. Inefficient scheduling forces carriers to wait longer, requiring more equipment and drivers.

Optimized Load Building: Getting Trucks Off the Road

Legacy load-building programs often fall short of using all available capacity — some don’t even factor in pallet weight. AutoO2 solves this by:

• Calculating ideal loads using product dimensions, palletization, and weight data
• Pulling future demand forward to maximize load capacity and eliminate partial truckloads

AutoO2 builds loads that are axle-legal and arrive without in-transit product damage.

Results: ProvisionAi has helped clients remove 88,000 truck journeys annually across the network, while AutoO2 delivers meaningful freight cost savings alongside the emissions reduction.

AutoO2 Load Optimization — Case Study

Shipments of heavy products, with each pallet weighing approximately 2,000 pounds, were optimized for delivery to a site in California. Using AutoO2’s load optimization, the company significantly increased payload per truck — reducing the total number of trucks needed for the same volume by 10, delivering real cost savings and cutting CO₂ emissions in the process.

Reducing the Number of Customer Loads

Optimizing your supply chain doesn’t stop at replenishment. Many companies are redefining terms of sale to encourage larger orders and fewer shipments overall. One example: a leading global CPG manufacturer includes freight costs in its product pricing and incentivizes customers to meet specific weight and volume order guidelines to secure the best pricing — guidelines meant to keep shipments cost-effective and eco-friendly.

Overly strict guidelines can backfire, though: if an order doesn’t fit efficiently on a truck, some products may need to be excluded to prevent transit damage, disrupting delivery. To solve this, the manufacturer implemented AutoO2 to standardize picking and loading, making load building repeatable regardless of who’s doing it. That reliability let the company raise its order minimums with confidence.

The result: customers began placing larger orders, reducing the number of annual shipments while keeping overall sales volume the same — real freight cost savings and a greener supply chain from fewer, fuller trucks.

LevelLoad: Reducing Deadhead Miles

LevelLoad transforms supply plans from Advanced Planning Systems into more consistent, eco-friendly transportation schedules over a 30-day horizon. By smoothing daily fluctuations in transportation volume, LevelLoad helps address a significant source of carbon emissions — that consistency lets preferred carriers, including environmentally conscious SmartWay fleets, handle a higher share of shipments. The result is typically lower emissions and, in many cases, lower shipping costs.

LevelLoad also improves operational efficiency: repeatable, reliable load schedules help carriers cut unproductive deadhead miles. One Midwest carrier told us that with LevelLoad, they not only handled a higher share of loads on key routes but also secured reliable backhauls, cutting further inefficiency.

By managing site-specific constraints — space, throughput — LevelLoad enables quicker carrier turnarounds, reducing the need for extra equipment and positioning locations as “shippers of choice” with carriers. Some companies have used the volatility reduction from LevelLoad to negotiate freight rate reductions directly with carriers.

Steps to Achieving a Greener Supply Chain

1. Evaluate deployment shipments — determine actual vehicle capacity by weighing and measuring a sample of equipment rather than relying on assumed figures, then quantify wasted payload capacity against that baseline.
2. Build financial justification — highlight potential savings from load optimization and smoothing, and calculate the cost and carbon impact of shifting more volume to preferred carriers.
3. Secure management buy-in — present cost and carbon savings to leadership. Once a project starts, plan for: staff to clean up item master data (accurate weights and dimensions), IT resources, and a roughly half-time dedicated project manager.
4. Partner with ProvisionAi — with management support in place, talk to an expert for implementation guidance.

Sustainable Logistics with ProvisionAi

Sustainability is no longer optional — it’s a requirement for competitive, responsible supply chains. AutoO2 and LevelLoad deliver enhanced load efficiency to cut cost and Scope 3 emissions, and smoother transportation plans for greener, more reliable logistics.

Optimizing your planning today is a real step toward a greener supply chain — for your bottom line and the planet. Talk to an expert to get started.