Sales & Operations Planning / S&OP


Sales & Operations Planning

Today, I thought I would cover S&OP and the impact AI will have on the process in the future.

What is S&OP?

S&OP is a way to align the departments in a company—sales, marketing, production, and finance. The goal? To create a plan that meets customer demand in the most efficient and profitable way.

Here’s the catch: everyone has their own agenda. Sales wants to sell a ton, often focusing on high-margin products. Marketing is trying to promote. Production cares about keeping machines running efficiently, so frequent switches or customizations aren’t their favorite. Finance? They just want the numbers to work out.

So, S&OP is like being a referee at a football match, balancing these competing priorities to make the best overall decisions.

How does a S&OP cycle look like?

It usually follows a monthly rhythm, like this:

Week 1: Dream big! What’s the unconstrained demand? Basically, what could we sell if there were no production or resource limits?

Week 2: Reality check. Operations comes in to explore scenarios—what’s feasible given our capacity and constraints?

Week 3: Numbers time. Finance joins to pick a scenario that balances sales and production while maximizing profits.

Week 4: Polish and present. Final tweaks and sign-off from the executive team.

Then, rinse and repeat every month.

How does the future look like?

Now let’s look ahead. AI and ML are set to revolutionize S&OP by making it faster, smarter, and more collaborative. Here’s how:

  • Demand Forecasting: AI analyzes mountains of data—past sales, market trends, even weather patterns—to predict demand with better accuracy. Think fewer surprises and more confidence in your plans.
  • Scenario Planning on Steroids: ML can crunch multiple “what-if” scenarios in minutes, letting you see the trade-offs between costs, capacity, and customer satisfaction.
  • Breaking Silos: AI tools can act as neutral “mediators,” presenting data-driven insights that align all departments. It’s harder to argue with a machine that’s just showing the facts.
  • Continuous Planning: Instead of a rigid monthly cycle, AI could enable real-time adjustments. Imagine always being in sync with market shifts or operational hiccups.
  • Empowering People: AI doesn’t replace humans; it augments them. The insights it provides free up teams to focus on strategy, creativity, and collaboration.

S&OP in the AI world isn’t about replacing people; it’s about making their jobs easier and their decisions smarter. AI is like a co-pilot—helping navigate complex challenges while humans stay in charge of the big-picture direction.

The companies that embrace this shift will not only adapt but thrive, turning S&OP from a monthly headache into a strategic advantage.

What do you think?


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AI Driven Supply Chain

I’m exploring how data and AI can make a real difference in supply chain management for industries like manufacturing, retail, utilities, oil & gas, and more. If you’re interested in practical ways to improve product-focused businesses using data and AI, this newsletter is for you. I’m Emir Musabasic, and I live at the intersection of how data&ai and think way too much about how to use above to enhance old fashioned SCM processes. Tired of boring analytics stuff that doesn’t really help? Subscribe to my newsletter for articles on how Data + AI help companies improve their supply chains.

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