The Coordination Layer

Sales & Operations Planning

Where Ambition Meets Constraint – Early and On Purpose

Coordination failures are a hidden tax on smart people.

Section 01

What S&OP actually does

S&OP is what keeps one part of the business from making promises the rest of the business has to suffer for.

At its core, S&OP usually does five things:

  • Aligns sales, operations, and finance
  • Improves demand planning
  • Improves supply and production planning
  • Creates visibility into inventory and service risk
  • Forces tradeoff decisions before they get expensive

Section 02

How this looks in the real world

Cadence

  • Weekly demand review to look at orders, forecast changes, customer shifts, and near-term risk
  • Weekly supply / operations review to look at production, inventory, constraints, and service risk
  • Weekly cross-functional S&OP meeting to line up sales, operations, supply chain, and finance around gaps and tradeoffs
  • Decision tracking and follow-up on the actions coming out of each meeting

What it includes

  • Demand plan
  • Supply / production plan
  • Inventory plan
  • Service level view
  • Capacity view
  • Shortage / excess analysis

AmpliFi roles

  • Business Analyst — helps structure the planning process, coordinate inputs, and keep the operating rhythm moving
  • Systems & Data Engineer — supports the data flows, planning tools, and visibility needed to align demand, supply, and inventory

Client roles

  • Executives – use the process to make tradeoff decisions and set priorities
  • Operators – manage execution across supply, inventory, and service
  • Functional leaders – provide inputs, challenge assumptions, and act on the plan

Section 03

What we do/ what you do

What Amplifi does

  • Builds and runs the S&OP process, helps align the teams around one operating view, structures the planning tools, surfaces imbalances and tradeoffs, and helps management make decisions around demand, inventory, production, service, and cash.

What you do

  • Provide the commercial, operational, and supply chain inputs, pressure-test assumptions, make the tradeoff decisions, and use the process to keep the business aligned as conditions change.

“Most operational pain begins with somebody making a decision in one silo and somebody else paying for it in another.”

Section 04

Case Study: Helping a Flour Business Plan From the Shelf Back to the Field

A vertically integrated flour business had demand coming from a lot of different places — retail, food service, Amazon, and its own website — and each channel had its own rhythm.

Some demand was steadier. Some was harder to read. Some was more influenced by promotions, customer timing, or seasonality. The business needed to forecast demand well enough to manage the week-to-week operation, but that was only part of it. It also needed to look much further out, because the forecast affected upstream decisions like how much farmland to acquire and how much to plant.

That is where the planning challenge got real.

If the forecast was off, it was not just a sales issue. It could turn into the wrong planting decisions, the wrong inventory levels, pressure on service, or too much capital tied up in the wrong place. The business needed one view of demand that could actually be used across the whole system — not just in the next week, but out over multiple years.

AmpliFi helped build that process.We worked with the client to put more structure around demand forecasting by channel, so the business had a better handle on what was likely to happen in retail, food service, Amazon, and direct-to-consumer. That gave the team a more useful short-term view for production and inventory planning, but it also gave them a longer-term demand outlook they could use for bigger upstream decisions around acreage, farmland acquisition, and planting.

That was the real value. The forecast was not living in one part of the business. It was helping connect commercial demand to what needed to happen operationally and agriculturally.

The result was a much clearer planning process.

The business had a better way to manage near-term demand across channels, while also making more informed longer-range decisions about how much supply it would need coming out of the ground. Sales, operations, and upstream planning were working from a more consistent set of assumptions, which made the whole system a lot more coordinated.

And the forecasting got very accurate.

Results

  • 95% forecasting accuracy at 90 days and in
  • 92% forecasting accuracy at 12 months and in

Built the forecasting structure, helped align demand across channels with supply and operating plans, and created an S&OP process that connected weekly execution to longer-term planting and capacity decisions.

  • Channel-level demand forecasting across retail, food service, Amazon, and DTC
  • Weekly demand planning to support production and inventory decisions
  • Multi-year outlooks to support farmland acquisition and planting decisions
  • Cross-functional S&OP structure
  • Better alignment between sales, operations, and upstream supply planning
  • Better short-term production and inventory planning
  • Better long-term decisions around acreage and farmland
  • Stronger alignment across the business
  • More confidence in both weekly execution and long-range growth planning