Sales and operations planning (S&OP) is vital for modern businesses to thrive. Sales and operation planning’s purpose is to be a primary decision-making venue for achieving the overall business strategy and delivering fundamental financial objectives. Achieving true business excellence requires attaining full S&OP maturity (the measurement of how well a company aligns its supply, demand, and financial goals through teamwork and data/technology). When S&OP maturity is achieved, teams and leaders have a lot to be proud of, because reaching this goal is not easy. In fact, it usually takes years of serious effort. (There are signs that this may soon be changing due to multi-agent AI S&OP integrations, but we’ll discuss that below.)

Unfortunately, though the business results seen by mature S&OP practitioners are impressive, the track record for businesses in maintaining that maturity is not great. In our experience, companies that achieve an “excellent” rating along with the promised business results typically return to their original immature status within 5–7 years, for reasons we’ll discuss below. In this article we’ll elaborate the specific benefits of attaining S&OP maturity, explain the rigor required to make the process work, and go over the specific reasons S&OP maturity is so difficult to maintain over time… and then help you understand what you can do about it.

Benefits of S&OP

It’s worth briefly outlining the specific benefits of an effective S&OP process. S&OP is meant to:

• Keep daily execution in sync with the business strategy
• Bring alignment and transparency between functions
• Keep demand and supply in balance
• Provide a foundation for accountability
• Drive trust and accuracy in the numbers
• Enable visibility to and closing of gaps
• Drive clarity in probability and risk analysis
• Enable rapid decision-making and the ability to manage change
• Drive business results

ORI case-study results demonstrate the value of mature S&OP. Across 25 case studies, median improvements included 34% higher profit, 15% lower inventory, 8% lower total supply chain costs, 27% higher productivity, and measurable gains in volume, revenue, and service. All absolute wins, as anyone would agree. However, this kind of success doesn’t come easy.

Rigor required to make S&OP effective

The first key to effective S&OP is that it must be owned by the executive team and be fully integrated across all business departments’ priorities. One of the most common—and most damaging—failure points in S&OP is the absence of strong executive ownership. Our recent survey showed the vast majority of respondents’ S&OP process was owned or led by the supply chain team. What’s worse, only 23% of participants reported highly integrated planning across Sales, Operations, and Finance—signaling that true cross-functional alignment is rare. This reflects the reality that most organizations are viewing and implementing S&OP as coordinating activity at best, but not actually synchronizing business planning and vital decision-making.

Delivering the valuable S&OP benefits above depends on rigorous monthly, weekly, and daily S&OP processes requiring:

• Alignment among corporate strategies, annual business plans, monthly S&OP reviews, daily/weekly planning processes, and ongoing execution.
• A business and financial focus rather than a supply chain-only focus. As noted above, the S&OP process must be owned by company leadership rather than the supply chain team, and be fully integrated into the overall business strategy.
• Adherence to proven best-practice standards and regular monitoring of performance to maintain process maturity.
• Timely, accurate access to demand, production, inventory, and financial data, along with trust in those numbers.
• Agreement to a single source of truth for demand and supply projections.
• Experienced demand and supply managers who are effective communicators and have strong technical and statistical skills.
• Effective end-to-end planning tools that enable valid, unbiased plans for innovation, demand, supply, and finance.
• Rigorous monthly and weekly review processes with an established schedule and attendance by decision-makers.
• Confidence in long-term and short-term plans and effective what-if analysis.
• Decision-making meetings focused on the future, not simply reviews of past performance.

If you can honestly evaluate your S&OP process and report that all of these requirements are in place and functioning, you deserve to be proud of your team. Achieving this level of S&OP maturity is rare and takes serious effort.

However, make sure you don’t sit back and rest on your laurels, as they say. Maintaining an excellent, “mature” level of S&OP effectiveness is perhaps even more difficult than achieving it to begin with. Let’s look at several reasons why.

Why S&OP maturity is difficult to maintain

While business results for teams achieving a mature S&OP process are essentially self-evident, as we mentioned in the introduction, maintaining this level of excellence is uncommon without serious, dedicated, intentional effort. In our experience, companies that achieve an “excellent” S&OP maturity level and begin experiencing the associated business results typically atrophy back to their previous habits within a few short years, as their S&OP effectiveness stagnates. Let’s look at some of the reasons why this happens.

• People changing roles: Individuals who were instrumental in making the S&OP process work may eventually move on, leaving the mature process in the hands of less experienced or less knowledgeable people. Because they were not there for the initial implementation, new participants often underappreciate the rigor required, and the habits can atrophy.
• Inexperienced planners: Many executives fail to understand how instrumental demand and supply planners are to an effective process. Planner roles are often seen as entry-level jobs, though even junior planners can potentially have influence over millions of dollars in inventory, capital assets, and customer service practices. It can take years for a planner to fully understand the implications of planning decisions, and good planners are instrumental to maintaining a mature S&OP setup at an excellent level.
• Rejecting the rigor: S&OP requires ongoing attention and participation from senior executives. Over time, it is not uncommon for executives to begin skipping meetings or paying less attention to the process, believing it will “run itself” or that full executive buy-in isn’t as essential as it actually is. In many cases, they do not see the slippage until the process is significantly off track.
• Decision-making outside the process: The rigorous monthly S&OP cycle can recur slower than needed. By the time the monthly S&OP meeting occurs, decisions may have already been made with less alignment and participation than is necessary to maintain excellence.
• Difficulty maintaining alignment between functions: It is hard work to maintain integration and collaboration between functions. Over time, departments may return to their own analysis, their own numbers, and their own understanding of the “correct” process. This tendency must be fought against to maintain S&OP maturity.
• Issues with data integrity and availability: As businesses add product lines, divisions, markets, acquisitions, or business management platforms/tools, data becomes harder to keep in sync. Legacy ERP systems and data warehouses are difficult to maintain, and data can become fragmented, corrupted, or incomplete. Important data may reside in makeshift environments such as spreadsheets.
• Time constraints on participants: Planning and review preparation can be onerous, particularly in a rapidly changing environment. Participants often lack time for deep analysis, long-range forecasting, simulation, gap closing, and assumption development. As a result, teams may revert to the easier or more comfortable process of reviewing past performance instead of developing forward-looking assumptions and probability analysis.
• Complexity and rate of change: As organizations become more complex and the rate of change accelerates, people struggle to keep up. Consequently, they may abandon formal systems in favor of “seat of the pants” decision-making.

How a multi-agentic AI planning model may solve problems with maintaining S&OP maturity

AI, specifically exciting forthcoming developments in multi-agent AI, has the potential to address many of these concerns and prevent S&OP process atrophy. When agentic AI becomes integrated into a fully governed, well-developed data foundation for S&OP, specialized AI agents may be configured to perform planning roles such as Sales Planner, Demand Planner, Supply Planner, Financial Planner, Strategy Specialist, Procurement Planner, Deployment Planner, and Innovation Planner, just as examples.

Once created, these agents will potentially be able to work together to analyze information and make recommendations—much like a cross-functional planning team. A supervisor or orchestrator agent could interpret the organization’s business objectives, strategies, measures, constraints, and decision boundaries, and delegate analytical tasks to specialized sub-agents, coordinate their outputs, reconcile conflicts, and prepare recommended actions or decision options for human review.

Human planners will provide the AI agent team with objectives, strategies, measures, tolerances, guardrails, approval thresholds, and exception rules. In early implementations, agents should primarily recommend, simulate, alert, and prepare decisions. Over time, organizations may then allow agents to execute low-risk actions automatically within approved boundaries. High-impact decisions such as production changes, inventory deployment, procurement commitments, or financial forecast changes should require human approval unless they fall within clearly defined tolerances for risk and financial impact.

However, none of this multi-agent S&OP transformation is possible without comprehensive data access from a well-structured data architecture.

Advantages of multi-agent AI for S&OP

AI functionality has already been employed for S&OP and can be very useful. However, multi-agent AI has several distinct potential advantages over a single-entity approach, including:

• Task specialization: Each agent can be given focused instructions, relevant data access, domain-specific tools, and clear responsibilities.
• Parallel analysis: Multiple agents can research, calculate, simulate, or evaluate different parts of a problem concurrently, materially reducing cycle time.
• Reduced context overload: Dividing work among focused agents can reduce the risk of overloading a single model with too much unrelated context.
• Incremental implementation: Organizations can build capability over time, starting with demand planning, then adding supply planning, finance, procurement, and other agents as maturity increases.
• More continuous decision support: Rather than waiting for the next formal review cycle, leaders can ask the agentic planning system to refresh assumptions, evaluate scenarios, and prepare decision options whenever material changes occur.
• Continuous cross-functional alignment: Specialty agents do not have departmental incentives or suffer from meeting fatigue. However, they must still be governed carefully because they can reflect biases in data, objectives, prompts, or business rules.
• Better use of disparate data: With governed access to enterprise systems, data lakes, planning applications, APIs, spreadsheets, and document repositories, agents can analyze data that today often sits un- or under-utilized across fragmented environments.
• Deeper gap, scenario, and long-tail analysis: Agents can potentially identify gaps between actuals, forecasts, financial commitments, capacity, inventory, and business objectives. They can also scan and identify potential wins in low-volume products, minor customers, small geographies, and secondary constraints that human teams often ignore because the manual effort is too high.
• Improved assumptions management and learning from outcomes: Agents can document assumptions, compare recommendations to actual results, identify assumption bias, update assumptions, and improve future planning cycles through structured feedback loops.
• Shifting the human role: Humans remain accountable for the process and results, but they no longer need to execute every traditional planning task manually. They are freed to focus on judgment, exception management, communication, and strategic thinking.

AI hype vs. reality

Today, everyone from software vendors to CEOs is scrambling to make sure they can answer the perpetual “Do you have AI?” question in the affirmative, but we all need to be careful about how much of today’s AI hype will translate into practical value. Unfortunately, the planning software market has a long history of promising transformational capability but delivering less than advertised, from early advanced planning systems to ERP consolidation to best-of-breed applications to machine-learning-based planning tools.

Once operational, agentic AI for S&OP may be different, but it should be evaluated with the same discipline: clear use cases, measurable outcomes, governed data, and realistic, fully vetted and appropriately scaled implementation plans.

For a deeper dive into the 20 core requirements for effective multi-agent AI for S&OP and IBP, please read our article on how agentic AI will transform S&OP.