AutoScheduler.AI, Inc.

https://www.AutoScheduler.AI

AutoScheduler.AI, Inc. is a cloud-based SaaS company specializing in intelligent warehouse orchestration, headquartered in Franklin, Tennessee. The company's mission is to empower distribution organizations with advanced planning capabilities, predictive decision-making, and prescriptive analytics to optimize supply chain operations and ensure seamless distribution activities.

The company offers key products such as AutoPilot for advanced warehouse planning and optimization, and AutoPilot Central, which provides a centralized view of multi-site data for command and control of distributed warehouse networks. AutoScheduler.AI's solutions integrate with existing Warehouse Management Systems (WMS), Labor Management Systems (LMS), and Yard Management Systems (YMS) to provide intelligent labor allocation, advanced automation, and real-time alerts. Their AI-driven platform focuses on labor planning, inventory workflow, human-robotics interaction, and space utilization, serving large-scale warehouse operators and consumer goods companies, including Fortune 500 clients like PepsiCo, Kimberly-Clark, Unilever, General Mills, and Procter & Gamble.

Led by CEO Keith Moore and Founder/Chairman Thomas A. Moore, AutoScheduler.AI is a privately held company that secured $6.5 million in funding from Noro-Moseley Partners in July 2024. The company has received notable recognition, including being named a 2026 Top 100 Supply Chain Tech Provider by Inbound Logistics magazine in March 2026 and a recipient of the 2025 Top Tech Startup Award. In April 2026, AutoScheduler.AI announced the formation of an Executive Advisory Board to further shape its product roadmap and market positioning as a leader in warehouse orchestration. The company also launched a free Warehouse Decision Agent in October 2025, an AI-powered coordination assistant designed to automate warehouse decision-making.

Latest updates

AutoScheduler.AI CEO Wins Inaugural Supply Chain Leadership Award

Event summary

  • Keith Moore, CEO of AutoScheduler.AI, received the inaugural Innovative Supply Chain Leadership Award from Supply Chain Now on April 30, 2026.
  • The award recognizes individuals demonstrating forward-thinking strategy and quantifiable impact on global logistics.
  • AutoScheduler.AI's platform uses AI to unify and automate warehouse decision-making, integrating with existing warehouse management systems.
  • National Supply Chain Day® is an annual event dedicated to celebrating supply chain industry advancements.

The big picture

The award highlights the growing importance of AI and Decision Intelligence in optimizing supply chain operations, a trend driven by increasing complexity and the need for resilience. While the warehouse automation market is substantial, AutoScheduler.AI's success depends on its ability to differentiate itself through its agentic AI approach and demonstrate tangible value beyond existing WMS solutions. The recognition also underscores the increasing influence of industry organizations like Supply Chain Now in shaping the narrative and rewarding innovation within the logistics sector.

What we're watching

Market Adoption
The award’s visibility may accelerate AutoScheduler.AI’s sales cycle, but sustained growth hinges on demonstrating ROI across diverse warehouse environments and overcoming integration challenges with legacy systems.
Competitive Landscape
The recognition elevates AutoScheduler.AI’s profile, likely attracting increased scrutiny and competition from established WMS providers and emerging AI-driven solutions.
Execution Risk
Maintaining AutoScheduler.AI’s innovative edge requires continuous investment in R&D and talent acquisition; the company's ability to deliver on its ambitious vision will be a key determinant of long-term success.

AutoScheduler.AI Integrates Voice and Explainable AI into Warehouse Agent

Event summary

  • AutoScheduler.AI has added voice-activated interfacing and explainable AI to its Warehouse Decision Agent.
  • The new features allow warehouse managers to interact with the agent via voice and receive explanations for optimization decisions.
  • AutoScheduler.AI claims its Agentic AI addresses decision overload by orchestrating labor, docks, and automation in real-time.
  • Keith Moore, CEO of AutoScheduler.AI, states the company is moving towards an autonomous ecosystem where systems sense, decide, act, and learn.
  • AutoScheduler.AI will showcase the innovations at MODEX in Atlanta next week.

The big picture

AutoScheduler.AI's move to integrate voice and explainable AI directly addresses the growing problem of 'decision overload' within warehouse operations, a challenge exacerbated by labor shortages and volatile demand. By democratizing access to advanced analytics and increasing transparency, AutoScheduler.AI aims to bridge the gap between AI-driven optimization and human workforce acceptance, a critical factor for widespread adoption of automation in logistics. This represents a shift towards more human-centric AI deployment, rather than purely automated systems.

What we're watching

Adoption Rate
The success of this integration hinges on frontline worker adoption; resistance to voice interfaces or skepticism about AI explanations could limit impact.
Competitive Response
Other warehouse orchestration platforms will likely accelerate their own AI and conversational interface development, potentially eroding AutoScheduler.AI’s first-mover advantage.
Data Security
Increased voice interaction and data sharing raise concerns about data security and privacy, requiring robust protocols to maintain trust and compliance.

AutoScheduler.AI Gains Recognition for Warehouse Automation Amidst Supply Chain Volatility

Event summary

  • AutoScheduler.AI was named a 2026 Top 100 Logistics & Supply Chain Technology Provider by Inbound Logistics.
  • The company's Warehouse Decision Agent reportedly improves productivity by 12%, increases product flow by 35%, and achieves 99%+ on-time shipment performance.
  • AutoScheduler.AI’s platform integrates with existing Warehouse Management Systems (WMS) and other systems.
  • Keith Moore, CEO of AutoScheduler.AI, claims the technology reduces planning time by 96%.

The big picture

The recognition highlights the growing demand for AI-powered solutions to address persistent supply chain inefficiencies and volatility. Warehouse automation is a key area of investment as companies seek to optimize operations and reduce reliance on manual processes. AutoScheduler.AI's focus on real-time decision-making aligns with the broader trend of moving towards more agile and responsive supply chains, particularly crucial given recent geopolitical and economic disruptions.

What we're watching

Customer Adoption
The reported performance gains (12% productivity, 35% throughput) will need to be consistently demonstrated across a wider range of Fortune 500 clients to validate AutoScheduler.AI's claims and drive broader adoption.
Integration Risk
Reliance on integration with existing WMS and other systems creates a dependency that could be a source of implementation delays or performance bottlenecks, potentially hindering scalability.
Competitive Landscape
The supply chain automation space is increasingly crowded; AutoScheduler.AI must differentiate its 'Agentic AI' approach to maintain its competitive edge and fend off rivals offering similar solutions.

AutoScheduler.AI to Detail Agentic AI Strategy for Food & Beverage

Event summary

  • AutoScheduler.AI CEO Keith Moore will present at the SNX Education and Collaboration Forum on March 31, 2026.
  • The presentation, titled 'How ‘Practical AI’ Is Changing the Way F&B Operations Run,' focuses on agentic AI systems.
  • AutoScheduler.AI’s platform uses Agentic AI to optimize warehouse operations, integrating with existing WMS/LMS/YMS systems.
  • The session aims to provide a 'blueprint' for F&B companies to leverage AI for operational improvements.

The big picture

Food and beverage companies are facing increasing pressure to optimize complex, interconnected operations. AutoScheduler.AI’s focus on agentic AI represents a shift towards more autonomous and adaptive systems, potentially offering a significant advantage in a sector often characterized by manual processes and reactive decision-making. The company's positioning suggests a move away from simple analytics toward active operational control, a trend that could reshape the competitive landscape for warehouse orchestration platforms.

What we're watching

Adoption Rate
The success of AutoScheduler.AI’s approach hinges on F&B companies’ willingness to move beyond traditional forecasting and embrace agentic AI, which may require significant cultural and process shifts.
Integration Costs
While AutoScheduler.AI claims integration with existing systems is straightforward, the true cost and complexity of integrating agentic AI across diverse F&B operations could be a barrier to wider adoption.
Competitive Landscape
The emergence of agentic AI in F&B operations will likely attract new entrants and intensify competition among existing warehouse and supply chain management platform providers.

AutoScheduler.AI Executives Recognized Amid Warehouse Automation Push

Event summary

  • AutoScheduler.AI CEO Keith Moore received the 'Leaders of Excellence' award from Supply & Demand Chain Executive.
  • Head of Product Kunj Pandya was recognized as a 'Rising Star' by Supply & Demand Chain Executive.
  • The awards highlight executives driving innovation in warehouse orchestration and AI-driven logistics.
  • AutoScheduler.AI’s technology reportedly delivers throughput increases, cost reductions, and improved service levels for clients.

The big picture

The recognition underscores the growing importance of AI and automation in addressing persistent supply chain challenges like labor shortages and demand volatility. Warehouse orchestration platforms are becoming increasingly critical for maintaining operational efficiency and resilience, particularly as companies seek to optimize complex, digitally-driven logistics networks. This award validates AutoScheduler.AI’s position within a rapidly expanding market, but also highlights the pressure to continue delivering tangible results for clients.

What we're watching

Market Adoption
The pace of Fortune 500 adoption of AutoScheduler.AI's platform will be a key indicator of its long-term success, given the stated client base.
Competitive Landscape
Increased recognition may draw attention from competitors, potentially intensifying the battle for market share in the warehouse orchestration space.
Product Evolution
How AutoScheduler.AI translates customer feedback and emerging technologies into new features will determine its ability to maintain a competitive edge.

AutoScheduler.AI Assembles Advisory Board to Validate Warehouse AI Strategy

Event summary

  • AutoScheduler.AI, a warehouse orchestration platform, has formed an Executive Advisory Board.
  • The board comprises five industry veterans with a combined 40+ years of experience at companies like Clorox, Frito-Lay, P&G, and Gartner.
  • The advisory board's video highlights a gap in warehouse technology and AutoScheduler's ability to orchestrate execution in real-time.
  • AutoScheduler.AI’s platform integrates with existing WMS/LMS/YMS systems to optimize labor, inventory, automation, and dock schedules.
  • Keith Moore, CEO of AutoScheduler.AI, states the board’s experience will shape the future of warehouse decision intelligence.

The big picture

AutoScheduler.AI's move to establish an Executive Advisory Board signals a strategic shift towards validating its AI-driven warehouse orchestration platform with seasoned industry veterans. This is occurring amidst growing pressure on supply chains to optimize efficiency and resilience through advanced technology, particularly as legacy systems struggle to adapt to real-time decision-making. The board's involvement suggests AutoScheduler is aiming to solidify its position as a key player in the evolving warehouse technology landscape.

What we're watching

Product Validation
The board's direct experience will likely accelerate AutoScheduler's product roadmap, but the degree to which their input translates into tangible feature changes remains to be seen.
Customer Adoption
The presence of recognizable names on the advisory board could significantly influence adoption rates among larger enterprise clients, but the platform's integration capabilities will ultimately determine its success.
Competitive Landscape
The board’s validation of AutoScheduler’s approach may spur competitors to accelerate their own AI-driven warehouse solutions, intensifying competition in the market.

Warehouse Orchestration Gap Costs Firms Billions, AI Partnership Aims to Bridge It

Event summary

  • AutoScheduler.AI and The New Warehouse are hosting a webinar on March 5, 2026, to discuss findings from a new industry report.
  • The report identifies a significant 'blind spot' in warehouse operations, where companies lack data on resource deployment despite rising industrial rent (up 44% since 2021) and labor costs (up 40%).
  • The report surveyed warehouse leaders and found that 100% track labor but still consider it their most underutilized asset.
  • A case study revealed a food & beverage manufacturer increased facility productivity by 9-14% and improved product flow by 35% using AutoScheduler.AI's Warehouse Decision Agent.
  • The 'Gray Zone' phenomenon – having resources but lacking orchestration – is costing companies substantial sums.

The big picture

The press release highlights a systemic problem in warehousing: despite significant investment in space and labor, many facilities are underperforming due to a lack of orchestration. This 'Gray Zone' represents a multi-billion dollar inefficiency across the industrial sector, and AutoScheduler.AI is positioning itself as a key solution. The partnership with The New Warehouse signals a strategic effort to raise awareness and drive adoption of AI-powered warehouse decision-making.

What we're watching

Adoption Rate
The pace at which warehouse operators adopt AI-driven orchestration solutions will determine if AutoScheduler.AI can capitalize on the identified market inefficiency.
Competitive Landscape
Increased awareness of the orchestration gap will likely spur competition, potentially eroding AutoScheduler.AI’s market share if it fails to maintain a technological edge.
Data Integration
AutoScheduler.AI's success hinges on its ability to seamlessly integrate with existing WMS/LMS/YMS systems, and friction in this process could hinder adoption.

AutoScheduler.AI Executives Recognized Amid Cold Chain Volatility

Event summary

  • AutoScheduler.AI CEO Keith Moore and Head of Product Kunj Pandya received 'Rock Star of the Supply Chain' awards from Food Logistics magazine on February 2, 2026.
  • Moore was recognized in the 'Leaders in Excellence' category, while Pandya received the 'Rising Stars' award.
  • The awards highlight contributions to the global cold food supply chain, specifically advancements in AI-driven warehouse decision agents.
  • AutoScheduler.AI’s platform integrates with WMS, ERP, and execution systems to optimize warehouse operations.

The big picture

The awards underscore the growing importance of AI and automation in addressing persistent challenges within the cold food supply chain, including labor shortages, cost volatility, and increasingly stringent regulatory requirements. AutoScheduler.AI's Agentic AI approach positions it to capitalize on this trend, but the company’s ability to scale its solutions and maintain a competitive edge will be crucial for sustained growth. The recognition also highlights the broader shift towards data-driven decision-making in logistics, a trend likely to intensify as supply chains face continued disruption.

What we're watching

Market Adoption
The pace at which AutoScheduler.AI can expand its customer base within the CPG and food & beverage sectors will be a key indicator of its long-term success, given the complexity of integrating AI into existing warehouse workflows.
Competitive Landscape
Increased recognition may attract competitors or spur existing players to accelerate their own AI-driven warehouse solutions, potentially eroding AutoScheduler.AI’s market share.
Regulatory Risk
Evolving food safety regulations and potential data privacy concerns could necessitate ongoing adjustments to AutoScheduler.AI’s platform and increase compliance costs.

AutoScheduler.AI Unveils Real-Time Warehouse Agent Amid Supply Chain Volatility

Event summary

  • AutoScheduler.AI will debut its Warehouse Decision Agent at Manifest 2026 (Booth 1373).
  • The technology reportedly increased pallet moves by 30-35% and product picks per hour for a Global CPG client.
  • Jon Veschio, formerly of Lucas Systems, has joined AutoScheduler.AI as VP of Sales.
  • The Warehouse Decision Agent integrates with existing WMS, labor, and yard systems.

The big picture

Warehouse operations are increasingly pressured by volatile demand and labor shortages, creating a need for more dynamic and responsive decision-making. AutoScheduler.AI’s approach of augmenting existing systems rather than replacing them addresses a common pain point, but the company faces the challenge of demonstrating consistent value beyond a single case study. The broader trend of AI adoption in logistics is accelerating, but many solutions remain unproven at scale.

What we're watching

Adoption Rate
The success of AutoScheduler.AI hinges on convincing warehouse operators to adopt a real-time decision agent, which may require overcoming resistance to change and integration challenges with legacy systems.
Scalability
While the Global CPG success story is promising, the ability to replicate those gains across diverse warehouse environments and operational scales will be a key indicator of AutoScheduler.AI’s long-term viability.
Competitive Landscape
The emergence of AutoScheduler.AI intensifies competition in the warehouse optimization space, and its ability to differentiate through superior performance and integration capabilities will be crucial for sustained market share.

AutoScheduler.AI Bolsters Sales Leadership with Warehouse Veteran

Event summary

  • AutoScheduler.AI appointed Jon Veschio as Vice President of Sales, effective January 20, 2026.
  • Veschio brings over two decades of experience in warehouse operations, logistics technology, and sales leadership.
  • Prior to AutoScheduler.AI, Veschio held the role of Vice President of North American Sales at Lucas Systems.
  • Veschio's background includes advising startups and enterprise organizations on software commercialization through Truefit and NEP Group, Inc.

The big picture

The warehouse automation market is experiencing rapid growth, driven by e-commerce expansion and the need for greater supply chain resilience. AutoScheduler.AI's focus on AI-powered decision-making positions it within a growing segment of the market, but adoption remains contingent on demonstrating clear and measurable value to operations teams. Veschio’s hire suggests AutoScheduler.AI recognizes the need to bridge the gap between technology and practical implementation within complex warehouse environments.

What we're watching

Sales Strategy
Veschio's experience suggests AutoScheduler.AI will prioritize direct engagement with operations leaders to demonstrate ROI, potentially shifting sales tactics away from purely technology-focused pitches.
Customer Adoption
The success of AutoScheduler.AI hinges on translating its AI-driven decision-making capabilities into tangible operational improvements for customers, a challenge Veschio's background is intended to address.
Competitive Landscape
The appointment signals AutoScheduler.AI’s intent to aggressively compete in the warehouse optimization space, likely intensifying pressure on existing WMS/LMS providers and potentially accelerating consolidation within the sector.
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