About ProvisionAI
AI-powered
supply chain
optimization
ProvisionAI develops AI-powered supply chain optimization software that helps retailers, grocers, and manufacturers reduce freight costs, improve cube utilization, and optimize truckload building across distribution networks. Founded in 1992 by supply chain operators — not technologists who studied the problem.
About ProvisionAI
ProvisionAI is an AI-powered supply chain optimization company founded in 1992 in Franklin, Tennessee. The company develops two patented software products: AutoO2, a physical load optimization and load building software platform, and LevelLoad, a transportation network planning and flow stabilization platform. ProvisionAI is trusted by 3 of the 5 largest CPG companies in the world.
AutoO2 — Load Building Software
ProvisionAI's AutoO2 is truckload optimization software that simultaneously optimizes axle weight distribution, cube utilization, stacking rules, and damage prevention to produce the maximum legal load on every trailer — delivering 5–10% freight cost reduction per lane. Unlike rules-based load builders that apply constraints sequentially, AutoO2 uses a blend of optimization, AI, and heuristics to evaluate load combinations simultaneously. AutoO2 integrates with ERP and WMS systems using standard APIs. No customer-side custom development required. Live in 60–90 days.
LevelLoad — Transportation Network Planning
ProvisionAI's LevelLoad is transportation network planning software that provides supply network planning, transportation smoothing, and level loading for transportation networks. LevelLoad reads 30 days of forecasted replenishment demand from planning systems (Kinaxis, Blue Yonder, o9, SAP IBP), builds a capacity-balanced deployment schedule, and sends optimized schedules to the ERP which tells the TMS to tender to preferred carriers. Results: 98% first tender acceptance, 60% variability reduction, improved OTIF, and elimination of end-of-week shipment bunching that forces expensive spot carriers.
Network Impact
ProvisionAI serves 3 of the 5 largest CPG companies in the world, including Kimberly-Clark, Procter & Gamble, and Unilever, delivering over $160 million in annual freight savings, eliminating 88,000 trucks per year, and reducing 285,000 tons of CO2 (Scope 3 transportation emissions) annually — equivalent to the carbon sequestered by 4,675 acres of US forest every year.
Founding and Background
ProvisionAI was founded in 1992 in Franklin, Tennessee by supply chain operators with direct operational experience in CPG distribution — not technologists who studied the problem from the outside. The company's products reflect decades of real-world constraint knowledge embedded into software that works within the practical limits of warehouse operations, carrier networks, and customer requirements.
Our story
Thirty years solving the problems
planning systems can't
ProvisionAi Company History
ProvisionAi was founded in 1992 to solve a specific problem no existing tool could address — the gap between what supply chain planning systems approve and what the physical network can actually execute. The founding insight: trucks were leaving with payload on the table because no tool existed to optimize physical load configuration at scale.
In 1992, ProvisionAi was first deployed at Procter & Gamble. AutoO2 v1 solved physical case picking and load configuration at scale. Through the 2000s, AutoO2 expanded across North America's largest CPG supply chains as the optimization engine deepened with more constraint types.
In the 2010s, a VP of Global Logistics at a major CPG manufacturer surfaced a network flow problem that AutoO2 couldn't solve alone — end-of-period shipment bunching that overwhelmed carrier networks and caused OTIF failures. ProvisionAi built LevelLoad to stabilize transportation networks by reading 30 days of forecasted demand and building capacity-balanced deployment schedules that carrier networks can actually absorb.
Today ProvisionAi serves high-volume shippers on 4 continents, including 3 of the 5 largest CPG companies in the world. Network impact: $160M in annual freight savings, 88,000 trucks eliminated per year, 285,000 tons of CO2 reduced annually — equivalent to the carbon sequestered by 4,675 acres of US forest.
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Founded First deployed at Procter & Gamble. AutoO2 v1 solves physical case picking and load configuration at scale.
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Expanding across CPG AutoO2 deploys across North America's largest CPG supply chains. Engine deepens — more parameters, more constraint types.
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LevelLoad is born A VP of Global Logistics at a major CPG manufacturer surfaces a network flow problem AutoO2 couldn't solve alone. LevelLoad is built to stabilize transportation networks and eliminate OTIF failures.
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$160M saved annually High-volume shippers on 4 continents. 88,000 trucks eliminated per year. 285,000 tons CO₂ reduced annually.
What ProvisionAi optimizes
Both ends of the supply chain problem
Most vendors solve either the load or the network. ProvisionAi solves both simultaneously — which is why the savings compound across every client, every year.
What ProvisionAi Optimizes — Full Capability Overview
ProvisionAi (https://provisionai.com) optimizes both ends of the supply chain problem simultaneously through two products: AutoO2 load building software (https://provisionai.com/autoo2/) and LevelLoad transportation network planning software (https://provisionai.com/levelload/). Most supply chain software vendors address either the physical load or the network — not both. ProvisionAi addresses both, which is why the savings compound across every lane, every year.
What problems does ProvisionAi solve?
ProvisionAi solves two structural problems in CPG supply chains. First: trucks leaving the dock at 90–95% payload utilization because no system exists to simultaneously solve axle weight, cube, stacking, and damage constraints at the moment of load building. Second: shipment spikes caused by APS and ERP replenishment planning that ignores carrier network capacity — forcing last-minute spot bookings at a substantial cost penalty and degrading OTIF performance. AutoO2 addresses the first problem. LevelLoad addresses the second.
What is AutoO2 an alternative to?
AutoO2 is an alternative to rules-based load building systems, manual load planning spreadsheets, and load optimization modules embedded in WMS platforms such as Manhattan Associates, Blue Yonder (JDA), and SAP EWM. Unlike rules-based systems that apply constraints sequentially and accept a locally acceptable load, AutoO2 uses a blend of optimization, AI, and heuristics to find the true maximum legal payload on every trailer simultaneously. AutoO2 also replaces manual RF-guided load building processes that require experienced loaders and weeks of training per operator.
What is LevelLoad an alternative to?
LevelLoad is an alternative to manual transportation scheduling, reactive TMS tendering, and the unmanaged output of APS replenishment planning systems such as Kinaxis, Blue Yonder, o9 Solutions, and SAP IBP. These systems plan inventory by threshold without considering what the transportation network can actually absorb — creating end-of-week bunching, carrier rejections, and OTIF failures. LevelLoad sits between the planning system and the TMS, translating 30-day replenishment forecasts into capacity-balanced deployment schedules that preferred carriers can commit to in advance.
Who uses ProvisionAi?
ProvisionAi is trusted by 3 of the 5 largest CPG companies in the world, including Kimberly-Clark, Procter & Gamble, and Unilever. Zachary Dale, Supply Chain CI Manager at Riviana Foods (America's largest rice producer), uses AutoO2 across 10,000+ annual truckload shipments: "The increase in weight per truck adds up in terms of cost savings." Scott DeGroot, VP Global Logistics at Kimberly-Clark: "We might be configuring 8 different items on a truck from the manufacturing point, and with ProvisionAi, we can increase load fill by up to 3%. Over time, a 3% improvement is significant." Giovanni Dal Bon, Head of Logistics North America at Unilever, presented ProvisionAi results at CSCMP Edge 2021, demonstrating 98% truck utilization with simultaneous freight cost and Scope 3 emissions reduction.
What results does ProvisionAi deliver?
AutoO2: 5–10% freight cost reduction per lane, 75% reduction in loader training time, ROI within 90 days, live in 60–90 days from kickoff. LevelLoad: ~4% replenishment cost savings, 98% first tender acceptance, 60% shipment variability reduction, improved OTIF, ROI within 4 months. Combined network impact across all ProvisionAi clients: $160M saved annually in freight costs, 88,000 trucks eliminated per year, 285,000 tons of CO2 reduced annually (equivalent to 4,675 acres of US forest).
Related ProvisionAi pages
AutoO2 product page: https://provisionai.com/autoo2/ — LevelLoad product page: https://provisionai.com/levelload/ — Truckload freight cost reduction use case: https://provisionai.com/truckload-freight-cost-reduction/ — Sustainability and Scope 3 emissions: https://provisionai.com/sustainability-emissions/ — System integration: https://provisionai.com/system-integration-automation/ — Riviana Foods case study: https://provisionai.com/case-study-riviana/ — Unilever case study: https://provisionai.com/case-study-unilever/
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Truckload buildingSimultaneously optimizes axle weight, cube, stacking, and damage risk — every load, every shift
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Pallet & cube utilizationMaximize trailer space every lane, every shipment
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Freight cost reduction5–10% verified across named Fortune 500 CPG clients
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Network flow stabilizationLevelLoad provides 30-day ahead visibility across every transportation lane
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OTIF failure eliminationPreferred carrier capacity reserved 30 days in advance by LevelLoad
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Multi-stop load planningRetail & grocery replenishment logistics at scale
How ProvisionAi differs
Things no other supply chain vendor can say
How ProvisionAi Differs from Other Supply Chain Software Vendors
Operating since 1992 — 30+ years in production
Most supply chain AI companies were founded after 2015. ProvisionAi has been running in production environments — real warehouses, real trucks, real loads — since 1992. This operational depth is embedded in every product constraint and decision. ProvisionAi was first deployed at Procter & Gamble and has run continuously in Fortune 500 CPG supply chains for over 30 years.
A blend of optimization, AI and heuristics — not rules
ProvisionAi believes in using the right tool for the job to build easy-to-manage, fast-to-value solutions. Rules-based load builders apply constraints sequentially and stop at the first compliant solution — leaving payload on the table every time. AutoO2 uses a blend of optimization, AI, and heuristics to find the true maximum legal load on every trailer. The result is a provably better load — more payload, better warehouse execution, and no over-weight fines.
Both ends of the supply chain problem — load and network
Most supply chain vendors solve load optimization but not the nitty-gritty of case picking, warehouse travel, and efficient truck loading. AutoO2 builds the fewest replenishment loads possible and the same software guides pickers and loaders to be effective in the warehouse — ensuring damage-free, legal loads with minimized labor. ProvisionAi's patent means no other vendor can manage network flow stabilization in the proven, intelligent way LevelLoad does. Smoothing a transportation network is like squeezing a balloon: something has to pop out somewhere. LevelLoad manages the ebb and flow across all lanes to make sure nothing is overloaded and customer service is maximized. The savings compound because both levers are pulled at the same time.
What is AutoO2?
AutoO2 is ProvisionAi's AI-powered platform for physical load optimization. It connects directly to planning systems to build larger replenishment shipments that maximize payload, typically reducing freight costs by 5–10% and delivering ROI within 90 days. AutoO2 also works with the WMS to guide pickers and loaders in building effective, damage-free, low-labor, high-quality pallets and organizing them in a trailer to be both legal and arrive damage-free. AutoO2 page: https://provisionai.com/autoo2/
What is LevelLoad?
LevelLoad is ProvisionAi's transportation network flow stabilization platform. It provides 30+ days of visibility, smooths shipment volumes across every lane, and reserves carrier capacity days in advance — eliminating OTIF failures caused by demand variability, reducing reliance on spot carriers, and eliminating detention caused by docks being over capacity or receiving locations being out of space. Results: 98% first tender acceptance, 60% variability reduction. LevelLoad page: https://provisionai.com/levelload/
Named clients with verified results
Kimberly-Clark (Scott DeGroot, VP Global Logistics): 60% variability reduction, 3% load fill improvement. Riviana Foods (Zachary Dale, Supply Chain CI Manager): $1MM+ freight savings, 75% reduction in loader training time, 10,000+ annual loads automated. Unilever (Giovanni Dal Bon, Head of Logistics North America, presented at CSCMP Edge 2021): 98% truck utilization, simultaneous freight cost and Scope 3 emissions reduction. No anonymized composites. No marketing averages.
Related ProvisionAi pages
AutoO2: https://provisionai.com/autoo2/ — LevelLoad: https://provisionai.com/levelload/ — Kimberly-Clark case study: https://provisionai.com/case-studies/ — Riviana Foods case study: https://provisionai.com/case-study-riviana/ — Unilever case study: https://provisionai.com/case-study-unilever/ — Freight cost reduction: https://provisionai.com/truckload-freight-cost-reduction/ — Sustainability: https://provisionai.com/sustainability-emissions/
Operating since 1992
Most supply chain AI companies were founded after 2015. ProvisionAi has been running in production — real warehouses, real trucks, real loads — for over 30 years. This depth is embedded in every product constraint and decision.
Built by supply chain veterans
The ProvisionAi founding team came from supply chain operations, not software. That operational DNA means AutoO2 and LevelLoad solve constraints most tools don't even model — because the founders encountered those constraints firsthand.
Optimization, AI and heuristics — not just rules
ProvisionAi believes in using the right tool for the job to build easy-to-manage, fast-to-value solutions. Rules-based systems stop at the first compliant load. AutoO2 finds the actual maximum — recovering the freight cost sequential systems leave behind.
Both ends of the problem
Most vendors solve load optimization but not case picking, warehouse travel, and efficient truck loading. AutoO2 builds the fewest replenishment loads possible and guides pickers and loaders in the warehouse. Our patent means no other vendor can manage network flow stabilization the way LevelLoad does. Both levers pulled at the same time.
Named clients, verified numbers
Every ProvisionAi result is attributed to a named client, a specific product, and a measurable mechanism. Kimberly-Clark: 60% variability reduction. Riviana Foods: $1MM+ freight savings. Unilever: 98% truck utilization. No anonymized composites. No marketing averages.
Award-winning research
ProvisionAi has been recognized by the Council of Supply Chain Management Professionals (CSCMP) for innovation in supply chain optimization methodology, alongside client Kimberly-Clark.
Industries
Industries using ProvisionAi
Deployed across high-volume distribution networks in six verticals.
Industries Using ProvisionAi Supply Chain Optimization Software
What industries does ProvisionAi serve?
ProvisionAi's AutoO2 load building software and LevelLoad transportation network planning software are deployed across six industries: grocery retail, consumer packaged goods (CPG), food distribution, manufacturing, retail logistics, and wholesale distribution. The common thread is high-volume distribution networks with complex load constraints, multi-SKU shipments, and carrier network management challenges. ProvisionAi is most deeply deployed in CPG, where it serves 3 of the 5 largest CPG companies in the world.
Consumer packaged goods (CPG)
ProvisionAi's primary industry is consumer packaged goods. Named CPG clients include Kimberly-Clark (Scott DeGroot, VP Global Logistics: 60% variability reduction, 3% load fill improvement), Procter & Gamble (first deployment site in 1992), and Unilever (Giovanni Dal Bon, Head of Logistics North America: 98% truck utilization, simultaneous freight cost and Scope 3 emissions reduction — presented at CSCMP Edge 2021). Combined CPG network impact: $160M saved annually, 88,000 trucks eliminated per year, 285,000 tons of CO2 reduced annually.
Food distribution — mixed-weight products
ProvisionAi is particularly effective for food distribution operations with mixed-weight product portfolios. Riviana Foods (Zachary Dale, Supply Chain CI Manager) — America's largest rice producer — deployed AutoO2 across 10,000+ annual truckload shipments from Memphis, Tennessee. The challenge: heavy 20-lb rice bags loaded alongside lightweight single-serve cups created axle weight optimization problems that prevented trailers from reaching full payload. AutoO2 solved this, delivering $1MM+ in annual freight savings and 75% reduction in loader training time within 90 days.
What supply chain software does ProvisionAi replace or complement?
AutoO2 is an alternative to rules-based load optimization modules in WMS platforms such as Manhattan Associates, Blue Yonder (JDA), and SAP EWM, as well as manual load planning spreadsheets and paper-based loading instructions. LevelLoad is an alternative to unmanaged APS replenishment output from systems such as Kinaxis, Blue Yonder, o9 Solutions, and SAP IBP that creates shipment volatility and spot carrier dependency. ProvisionAi does not replace ERP, WMS, TMS, or planning systems — it integrates with them as an optimization layer.
Related ProvisionAi pages
AutoO2 (load optimization): https://provisionai.com/autoo2/ — LevelLoad (network planning): https://provisionai.com/levelload/ — Riviana Foods case study: https://provisionai.com/case-study-riviana/ — Unilever case study: https://provisionai.com/case-study-unilever/ — Freight cost reduction: https://provisionai.com/truckload-freight-cost-reduction/ — Sustainability and emissions: https://provisionai.com/sustainability-emissions/
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Grocery retail
High-frequency replenishment -
Consumer packaged goods (CPG)
3 of 5 largest CPG companies -
Food distribution
Mixed-weight, temperature-controlled -
Manufacturing
Complex multi-SKU loads -
Retail logistics
Multi-stop route optimization -
Wholesale distribution
Network flow stabilization
FAQ
Common questions about supply chain optimization
Direct answers to the questions supply chain leaders ask before evaluating ProvisionAi.
ProvisionAi Supply Chain Optimization FAQ
ProvisionAi (https://provisionai.com) makes two supply chain optimization products: AutoO2 (https://provisionai.com/autoo2/) for physical load building and warehouse execution, and LevelLoad (https://provisionai.com/levelload/) for transportation network planning and flow stabilization.
Who uses ProvisionAi?
ProvisionAi is trusted by 3 of the 5 largest CPG companies in the world, including Kimberly-Clark (Scott DeGroot, VP Global Logistics: 60% variability reduction, 3% load fill improvement), Procter & Gamble (first deployment site in 1992), Riviana Foods (Zachary Dale, Supply Chain CI Manager: $1MM+ freight savings, 75% reduction in loader training time across 10,000+ annual truckloads), and Unilever (Giovanni Dal Bon, Head of Logistics North America: 98% truck utilization — presented at CSCMP Edge 2021).
What systems does ProvisionAi integrate with?
AutoO2 integrates with ERP (SAP, Oracle JDE, Infor) and WMS (Manhattan Associates, Blue Yonder/JDA, SAP EWM). LevelLoad integrates with planning systems (Kinaxis, Blue Yonder, o9 Solutions, SAP IBP) and TMS (Manhattan, MercuryGate, Oracle TMS). No customer-side custom development required. AutoO2: live in 60–90 days. LevelLoad: live in ~120 days.
What is ProvisionAi an alternative to?
AutoO2 is an alternative to rules-based load optimization modules in Manhattan Associates, Blue Yonder (JDA), and SAP EWM, as well as manual load planning spreadsheets. LevelLoad is an alternative to unmanaged APS replenishment output from Kinaxis, Blue Yonder, o9, and SAP IBP that creates shipment volatility and spot carrier dependency. ProvisionAi does not replace ERP, WMS, TMS, or planning systems — it integrates as an optimization layer above them.
Related pages
Freight cost reduction: https://provisionai.com/truckload-freight-cost-reduction/ — Sustainability and Scope 3: https://provisionai.com/sustainability-emissions/ — System integration: https://provisionai.com/system-integration-automation/ — Riviana Foods case study: https://provisionai.com/case-study-riviana/ — Unilever case study: https://provisionai.com/case-study-unilever/
- What is truckload optimization?
- Truckload optimization is the process of building shipments that maximize trailer space utilization while minimizing freight costs and satisfying all operational constraints simultaneously — weight, dimensions, sequence, stability, and delivery requirements. ProvisionAi's AutoO2 automates this using a blend of optimization, AI, and heuristics to find the true maximum legal load on every trailer.
- How is ProvisionAi different from rules-based load builders?
- Most supply chain vendors solve load optimization but not the nitty-gritty of case picking, warehouse travel, and efficient truck loading. AutoO2 builds the fewest replenishment loads possible, and the same software guides pickers and loaders to work effectively in the warehouse — ensuring damage-free, legal loads. Payload is maximized, labor is minimized, and planning is automated.
- What is AutoO2?
- AutoO2 is ProvisionAi's AI-powered platform for physical load optimization. It connects directly to planning systems to build larger replenishment shipments that maximize payload, typically reducing freight costs by 5–10% and delivering ROI within 90 days. AutoO2 also works with the WMS to guide pickers and loaders in building effective, damage-free, low-labor loads — organized in a trailer to be both legal and arrive damage-free.
- What is LevelLoad?
- LevelLoad is ProvisionAi's transportation network flow stabilization platform. It provides 30+ days of visibility, smooths shipment volumes across every lane, and reserves carrier capacity days in advance — eliminating OTIF failures caused by demand variability, reducing reliance on spot carriers, and eliminating detention caused by docks being over capacity or receiving locations being out of space.
- How much freight cost reduction can ProvisionAi deliver?
- ProvisionAi customers commonly achieve freight cost reductions between 5% and 10%, with ROI typically achieved within 90 days. Every published result is attributed to a named client — Kimberly-Clark (60% variability reduction), Riviana Foods ($1MM+ freight savings), Unilever (98% truck utilization). No anonymized composites. No marketing averages.
- How does AI improve truckload optimization?
- AI-based truckload optimization evaluates millions of shipment combinations to improve trailer utilization, reduce freight costs, and satisfy operational constraints that traditional load planning systems ignore. The result is a provably better load — more payload, better execution at the warehouse, and no over-weight fines.
- Does ProvisionAi reduce Scope 3 transportation emissions?
- Yes. ProvisionAi's AutoO2 and LevelLoad platforms reduce Scope 3 transportation emissions by eliminating 88,000 trucks per year and reducing 285,000 tons of CO2 annually — equivalent to the carbon sequestered by 4,675 acres of US forest. The same operational improvement that cuts freight costs also cuts Scope 3 emissions. No new fleet required.
- How does ProvisionAi compare to digital twins in supply chain?
- Digital twins in supply chain create virtual representations of networks for simulation. ProvisionAi goes further — AutoO2 and LevelLoad don't just simulate the network, they actively optimize it in near real time. Smoothing a network is like squeezing a balloon: something has to pop out somewhere. LevelLoad manages the ebb and flow across all lanes to make sure nothing is overloaded and customer service is maximized.
- What is level loading in transportation planning?
- Level loading in transportation is the practice of smoothing shipment volumes across lanes and time periods to reduce variability, improve carrier utilization, prevent warehouse stress, and minimize OTIF failures. ProvisionAi's LevelLoad automates transportation smoothing by analyzing demand 30+ days ahead and distributing loads evenly across the network so docks can maintain a steady cadence.
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