AI Agents for Sales and Operations Planning

WorkAgentic builds AI agents for sales and operations planning that consolidate demand, supply, inventory, and financial data into one view automatically, flag gaps between the demand plan and supply capacity, run scenario models on demand, and prepare the monthly S&OP meeting package so leadership walks in with decisions to make, not data to chase.

★★★★★4.8 / 5
No technical team neededBuilt by CPAs
Book a Free AI Workflow Automation

No commitment. Response within 24 hours.

Sales and Operations Planning

Six S&OP tasks your team stops running manually

Each agent connects to your demand, supply, inventory, and financial data and works continuously to keep the S&OP cycle current. No days spent chasing numbers before the meeting, no demand-supply gap discovered only once it is already in the room.

Automated S&OP Data Consolidation

  • Demand, supply, inventory, and financial data pulled into one view
  • Consolidated view ready ahead of the monthly cycle automatically
  • No more chasing numbers from four departments by hand
  • Consistent data format applied across every function every cycle
  • Consolidation time cut from days to a few hours

Demand-Supply Gap Analysis

  • Demand plan compared against supply capacity automatically
  • Capacity shortfalls and oversupply risk flagged before the meeting
  • Gaps flagged with enough detail to support an immediate decision
  • No more discovering a mismatch only once it reaches the room
  • Gap trends tracked across cycles to catch a recurring pattern

Scenario Modeling and What-If Analysis

  • What-if scenarios run automatically for demand, supply, and capacity changes
  • Resulting impact on the integrated plan shown for each scenario
  • Scenarios compared side by side instead of rebuilt one at a time
  • No more waiting days for a single new scenario to be modeled
  • A question raised in the meeting answered with a new scenario on the spot

Cross-Functional Plan Reconciliation

  • Differences between sales, operations, and finance plans identified automatically
  • Conflicting assumptions across departments flagged before the meeting
  • One reconciled plan produced instead of three competing versions
  • No more discovering a conflicting number in the middle of the review
  • Recurring reconciliation friction tracked to the source department

S&OP Meeting Preparation and Reporting

  • Monthly meeting package built automatically from the consolidated data
  • Key gaps and decisions surfaced up front instead of buried in slides
  • No more building a deck by hand the night before the review
  • Consistent format applied to every monthly package for easy comparison
  • Meeting prep time cut from a full day to under an hour

Financial Impact Translation

  • Operational plans translated into revenue, cost, and margin impact automatically
  • A supply or demand change understood in dollars during the meeting itself
  • No more calculating financial impact after the decision is already made
  • Financial impact attached to every scenario modeled
  • Consistent financial assumptions applied across every function's plan

Client Reviews

What supply chain teams say after going live

4.8
★★★★★
Verified clients
★★★★★

Pulling together the monthly S&OP data meant chasing numbers from sales, ops, and finance for three straight days before we could even start reconciling. WorkAgentic consolidates everything automatically now, and that three-day scramble is gone.

★★★★★

A capacity shortfall against our demand plan used to surface for the first time in the S&OP meeting itself, which left no time to react. WorkAgentic flags a gap like that days before the meeting now, so there is actually time to address it.

★★★★

A new capacity scenario used to take our team the better part of a week to model by hand, which meant we rarely tested more than one option. WorkAgentic runs a new scenario in the meeting itself now, so leadership can compare options on the spot.

★★★★★

Sales, ops, and finance would walk into the S&OP review with three different numbers, and reconciling them ate up most of the meeting. WorkAgentic reconciles the plans automatically now, so the meeting starts with one number and moves straight to decisions.

★★★★

Building the monthly S&OP deck used to take a full day of pulling slides together the night before the review. WorkAgentic builds the package automatically now, and that full day of prep has come down to under an hour.

Our Process

How we deploy your S&OP agent

Five structured steps from scoping to go-live. No disruption to your current systems, monthly cadence, or leadership review process.

01
Discovery and S&OP Process Audit
Free 30-minute call. We map your current S&OP cycle, data sources, and every manual step your team runs each month.
02
Agent Design and Scoping
We define data sources, gap thresholds, and meeting package format before building anything.
03
Build and Integration
We connect the agent to your demand, supply, inventory, and financial data. No IT team required on your side.
04
Pilot and Validation
The agent consolidates data and prepares the meeting package in parallel with your existing process for one full cycle. Output is reviewed before handoff.
05
Go-Live and Handoff
The agent takes over data consolidation, gap analysis, and meeting preparation. Your leadership team keeps the decisions made in the review.
01
Discovery and S&OP Process Audit
Free 30-minute call. No preparation needed. We map your current S&OP cycle, data sources, and every manual step your team currently runs each month. You walk us through it once. We take it from there.
S&OP cycle and data source map
Reconciliation and meeting prep gap assessment
Recommended agent configuration for your S&OP process

Supply Chain AI by Industry

S&OP built for your industry

Each agent is configured for that sector's planning cadence, data sources, and reconciliation needs.

Built Around Your Workflow

Your demand and supply data are already the source of truth

WorkAgentic builds each S&OP agent around the demand, supply, inventory, and financial data your team already has. Your planning cadence, your gap thresholds, and your financial assumptions are the foundation. The agent consolidates and reconciles in the background. Your team keeps the decisions made in the review.

Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.
100+
systems we connect to
Any API
if it exports data, we connect
N
NetSuite
SAP
SAP
SF
Salesforce
x
Xero
ORC
Oracle
D365
Dynamics
SGE
Sage
100+
more systems

NetSuite, SAP, Salesforce, Xero, Sage Intacct, Oracle Financials, and any ERP or WMS with a structured API or data export

Case Studies

AI agents we have already built and deployed

Real deployments. Real outcomes. Each agent was built from scratch around the client's exact workflow.

How a $150M Frozen Foods Distributor Eliminated Overnight Temperature Risk and Prevented $200K–$250K in Annual LossesFrozen Foods / CPG
How a $150M Frozen Foods Distributor Eliminated Overnight Temperature Risk and Prevented $200K–$250K in Annual Losses
A leading frozen foods distributor managed millions of dollars of temperature-sensitive inventory across its refrigerated fleet but had no visibility into trailer temperatures during overnight hours. This created a significant risk of product spoilage, inventory loss, and customer service disruptions.
How a $50M CPG Brand Replaced a $180K TPM System and Unlocked $300K in Annual Value Using Open-Source TPM and Agentic AICPG / Consumer Packaged Goods
How a $50M CPG Brand Replaced a $180K TPM System and Unlocked $300K in Annual Value Using Open-Source TPM and Agentic AI
A $50 million consumer packaged goods (CPG) brand was struggling with the growing complexity of trade promotion management. Despite investing heavily in a traditional TPM platform, many critical processes remained manual, including trade planning, accrual management, deduction reconciliation, customer profitability reporting, and trade spend analysis. The company was spending approximately $180,000 annually on TPM software while dedicating significant internal resources to managing promotions, deductions, and reporting activities.
How a $250M+ Frozen Food Manufacturer Cut Daily Inventory Reporting from 120 Minutes to 5 Minutes and Saved $44,000 AnnuallyFrozen Foods / CPG
How a $250M+ Frozen Food Manufacturer Cut Daily Inventory Reporting from 120 Minutes to 5 Minutes and Saved $44,000 Annually
A $250M+ frozen food manufacturer managed inventory across multiple third-party warehouses and cold storage facilities. Accurate inventory visibility was critical for supply planning, production scheduling, customer service, and inventory management. However, the company relied on a highly manual inventory reporting process that required data from twelve separate sources, including warehouse portals and accounting system reports, to be downloaded, reconciled, and consolidated twice each day.
How a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROICPG / Business Process Outsourcing
How a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROI
A leading business services provider supported multiple consumer packaged goods (CPG) companies with aggregate annual sales exceeding $800 million. The organization was responsible for transcribing retailer deduction documentation, validating deductions against trade promotion planners, proof-of-performance documents, and promotional contracts across multiple customers, channels, and retailer platforms. As client volumes increased, the process of extracting, validating, and transferring retailer data into spreadsheets, reports, and operational dashboards became increasingly dependent on manual labor.

Watch the Agent Work

See an S&OP agent running live

A 3-minute walkthrough showing how the agent consolidates demand, supply, and financial data, flags a capacity gap, runs a scenario model live, and translates the resulting impact into revenue and margin terms.

Demand, supply, and financial data consolidated automatically
Capacity gap flagged before it reaches the meeting
Scenario model run live during the review
Impact translated into revenue and margin terms instantly
Get Your Agent Today →

No commitment. We demo with a real supply chain workflow, not a sandbox.

Built for Supply Chain Leadership

The right S&OP setup for every role

Each deployment is scoped around how a specific role uses S&OP data. Your VP of Supply Chain, S&OP manager, and planning team each get what they need from a monthly cycle that prepares itself.

VP SUPPLY CHAIN
VP of Supply Chain

Stops walking into the monthly review to discover a demand-supply mismatch for the first time. Gets visibility days ahead instead.

WHAT CHANGES
Integrated plan visible across every function from one view
Gaps surfaced ahead of the review instead of during it
One consistent plan reviewed instead of three competing versions
Financial impact of every decision understood in the room
S&OP
S&OP Manager

Stops spending days chasing numbers from four departments before every monthly cycle. Gets a consolidated view that builds itself instead.

WHAT CHANGES
Monthly meeting package built automatically ahead of the review
Cross-functional conflicts reconciled before anyone sits down
New scenarios modeled on request instead of over the following week
Time spent facilitating decisions instead of assembling spreadsheets
PLANNING TEAM
Planning Team

Stops discovering a conflicting assumption in the middle of the review. Gets a reconciled plan going in instead.

WHAT CHANGES
Demand, supply, and financial signals monitored continuously
Gaps logged with context so nobody has to reconstruct a decision later
Every cycle cleared on the same monthly cadence without slipping
Coverage maintained across more functions without adding headcount
Meet Our CEO Haroon Jafree, CPA
25 years as a CFO and finance leader, designing agents around workflows he personally ran
About WorkAgentic

Start with sales and operations planning. Add more supply chain workflows as your team grows.

WorkAgentic deploys S&OP automation that consolidates demand, supply, and financial data, flags gaps, and prepares the meeting package automatically so leadership spends the review making decisions, not chasing data.

FAQ

Questions about sales and operations planning automation

Clear answers on how the agent consolidates data, flags gaps, models scenarios, and what your team stays responsible for.

Sales and operations planning agents are AI agents that consolidate demand, supply, inventory, and financial data into one view automatically, identify gaps between the demand plan and supply capacity, run scenario models for different assumptions, and prepare the monthly S&OP meeting package. WorkAgentic builds S&OP agents for teams who currently spend days pulling data from disconnected systems before every monthly cycle, and only find a demand-supply gap once it shows up in the meeting itself.
Demand planning produces the consensus demand forecast: one agreed number from sales, marketing, and finance input. S&OP is the broader monthly cycle that reconciles that demand plan against supply capacity, inventory position, and financial targets into one integrated business plan reviewed by leadership. WorkAgentic treats these as separate agents that work together. This page covers the broader reconciliation and meeting preparation agent. A separate demand planning agent covers the demand consensus process itself.
The agent pulls demand, supply, inventory, and financial data from each system automatically and assembles it into one consolidated view ahead of the monthly cycle, so nobody has to chase down numbers from four different departments by hand.
Yes. The agent compares the demand plan against supply capacity and inventory position automatically and flags a gap, such as a capacity shortfall or an oversupply risk, before it reaches the meeting unaddressed. Gaps are flagged with enough detail to support a decision.
Yes. The agent runs what-if scenarios automatically, such as a demand spike, a supply delay, or a capacity change, and shows the resulting impact on the integrated plan. Leadership can compare scenarios side by side instead of waiting for a manual model to be rebuilt for each question.
Yes. The agent translates the operational plan into revenue, cost, and margin impact automatically, so a supply or demand change is understood in financial terms during the meeting rather than calculated afterward.
No. The agent consolidates data, flags gaps, models scenarios, and prepares the meeting package automatically. Your leadership team keeps responsibility for the decisions made during the S&OP review. The agent removes the manual data-gathering and reconciliation work so the meeting focuses on decisions instead of data collection.
Zero new software for your team to learn. The agent runs inside your existing systems. Your team sees the output, not the engine.

Get Started

Ready to stop spending days consolidating S&OP data by hand?

Book a free 30-minute S&OP process review. We map your current cycle, data sources, and meeting prep process and show you where automation saves the most time.

Book a Free S&OP Process Review →