AI For Purchase Order Confirmation
How Agentic AI turns unstructured supplier communication into structured ERP data, without changing how anyone works.

Despite having best-of-breed software systems (ERP, MRP, planning tools), most manufacturers hit the same wall when it comes to the messy reality of communicating and collaborating with suppliers. The most common options in the industry are:
The most frequent channel to manage PO confirmations and collaborate on promised dates and other escalations remains email. These come in all shapes and forms, from text bodies to PDFs to Excel attachments and everything in between. The downstream cost of this reality shows up in three places:
Companies now have a new option: Agentic AI can close this gap without requiring suppliers or internal teams to change anything they do today. No new portal. No new workflow. No large IT projects to push EDI across the entire supplier base.
AI Agents work inside the email channels that buyer teams already use to communicate with suppliers. It understands the unstructured information stuck in emails, can run validations against master data, and can hold a natural conversation with a supplier to confirm a promised date or request an update, all while keeping ERPs up to date.
This report covers why EDI and portal adoption stalls in practice, what running this process manually actually costs, and how an AI Agent turns unstructured supplier communication into structured ERP data.
Leading enterprises are shifting from reactive responses to proactive risk resolution by automating PO confirmation processing. By connecting supplier communication directly to ERP in real time, they turn what was a reactive, manual process into a proactive, automated one. Accuracy matters, but so does speed. The results are consistent: fewer manual touchpoints, faster confirmation cycles, measurable improvements in OTIF, and fewer exceptions causing high costs and excess safety stock.
| Company | Industry | Use Case | Impact |
|---|---|---|---|
| Schneider Electric | Energy Management & Industrial | GenAI unifies data across 100+ ERPs to flag supply disruptions. AI predicts if a late supplier will impact a plant and suggests re-routing orders | Helped avoid stockouts during crises and freed teams from reactive |
| Knorr-Bremse | Rail & Commercial Vehicles | AI agents extract PO confirmation data from any format: PDFs, Excel, SAP screenshots, handwritten notes. Multilingual support across global suppliers. | >99% accuracy; eliminated manual cross-checking; global multilingual support |
| WITTENSTEIN SE | Electromechanical Drive Technology | PO confirmations from email and PDF automatically captured, matched against SAP purchase orders. Deviations flagged, matched confirmations auto-posted. | ~11 hours saved per day; high employee adoption. |
| IDEX Corporation | Diversified Industrial | Auto-reminders to suppliers if POs remain unconfirmed after 24 hours. Escalation notifications to the team. | 92% of supplier orders confirmed within 48 hours; all data auto-synced to ERP. |
| BraunAbility | Automotive & Mobility | Automated PO confirmation and change management across ~15,000 SKUs and 100+ suppliers. | 94% PO acknowledgment rate; 30% boost in supplier OTIF to 90%. |
The sentiment from supply chain leaders is consistent: Supplier portals have not delivered on their promise and EDI is costly and requires IT support on both sides to roll out.
When you walk the floor, buyers are still manually copying and pasting updates from MS Outlook to ERP. Suppliers continue to confirm POs and communicate exceptions by email. Material planning systems remain unaware of critical signals buried in these emails that were never processed and added into ERP, preventing planners from taking corrective action proactively.
At one manufacturer we talked to, only 5% of their suppliers actively used the portal. While portal adoption varies by company, the long-tail suppliers still send confirmations manually via email. Another company we work with integrated SAP Ariba to standardize confirmations for direct materials but soon after realized that teams moved back into emails the moment exceptions arose. They eventually scrapped the implementation.
The reason is straightforward: Unless a customer is a strategic partner, a supplier doesn't have the bandwidth to log into hundreds of customer portals to manually update information and upload files. Email is the single tool that works for every customer, handles routine confirmations and complex exceptions equally well, and requires zero training.
So the status quo is this: EDI handles the strategic partners, portals handle a fraction of the rest, and email handles everyone else. In practice, that is more than half of the confirmation volume and over 90% of all suppliers.
Every supply chain leader we speak with recognizes this. The question is not whether email is the dominant channel. The question is what to do about it.

If EDI is reserved for strategic partners and portals have minimal adoption, email is the de facto standard to issue POs to suppliers and collaborate with them on promised dates and exceptions. Critical information arrives unstructured in mail bodies, or deeply embedded inside PDFs & Excel attachments. Every confirmation requires a buyer to read the email, interpret the response, cross-reference it against the original PO, and manually key the data into the ERP. Until that happens, planners are working with outdated information. Most organizations accept this as operational reality. Few have quantified what it actually costs.
1. Human Capital Expense
PO confirmation-related activities frequently account for 60 to 70% of a buyer's workload: managing incoming confirmations (30%), updating the ERP (20%), and resolving exceptions and escalations (20%), according to a recent report published by APQC.
At a $1.5B CPG manufacturer processing roughly 35,000 POs per year, the buyer team managing confirmations required 30 FTEs, costing close to $1.9M in fully loaded salaries. A best-in-class organization of similar size would operate with about 6, according to a recent report (APQC). The difference in productivity between these organizations is stark: 100 vs 400 POs per buyer per month. This would decrease the human capital expense alone by roughly 80%.
2. Downstream errors and expensive corrections
When critical data regarding confirmation or delays live in unstructured emails, it takes buyers hours of efforts to context switch, parse the information, and keep the ERP system up to date. The delay between supplier communication and updated information in the ERP frequently is two to five days. During that window, the organization loses valuable time to react, respond and adjust flexibly to new signals and instead works off bad data.

To address this, organizations typically choose one of two ways.
3. The impact on customer OTIF
While many organizations track OTIF as a key KPI, the cost of seeing it drop is less frequently quantified. When an unprocessed confirmation delays production or triggers last-minute rescheduling, the company pays for the expedites and excess inventory internally. But the customer receives the late delivery.

Portals failed because they asked suppliers to change how they work. An AI Agent works because it meets them where they already are while delivering even greater value to the manufacturer. The supplier keeps doing exactly what they do today: replying by email. No adoption or training required.
The AI Agent operates inside the same email inbox buyers already use to communicate with suppliers. It reads the conversation, validates information against the organization's master data, clarifies open questions with suppliers, and updates ERP in real time, so planners can take action proactively as it happens.

| Step | What Happens |
|---|---|
| 1. PO sent from MRP | The PO is sent from the MRP or ERP. The AI Agent receives emails from the procurement group mailbox or integrates with the organization's email system via forwarding rules. |
| 2. No reply? AI follows up | If the supplier hasn't responded within the agreed SLA, the AI follows up autonomously in a natural and professional human voice via email. |
| 3. Supplier replies by email | Suppliers confirm via text, Excel, PDF or other means, ask questions, or propose changes to the PO. No changes for them. |
| 4. AI reads, validates, and cross-references | The AI Agent cross-references the supplier's response against the original PO from the ERP. It flags mismatches and validates against the master data. |
| 5. AI takes action | The buyer team now only manages by exception: (a) If there are no issues, the AI automatically updates the ERP; (b) If the AI spots inconsistencies, it reaches out to the supplier to clarify, verify, and confirm. (c) Only exceptions requiring human intervention are escalated to the buyer for one-click approval. |
| 6. ERP stays in sync, 24/7 | The ERP now reflects reality. Planners can make decisions based on actual supplier commitments instead of old promised dates. Every update is fully auditable. |

The AI Agent is configured around the organization's SOPs and business rules. No data leaves the environment. Every action is logged with a full audit trail, and the procurement team controls what the AI Agent can and cannot do.
When a discrepancy cannot be resolved with the supplier directly, the AI Agent recommends solutions and next steps to the buyer. The buyer can either approve the recommendation or work with the AI Agent to explore alternatives. Once a path is confirmed, the AI Agent executes based on the organization's SOPs. The buyer stays in control, the AI handles the execution.
Beyond forecasts and reports, the organization's supply chain becomes proactive. New information triggers immediate action, not a queue of emails waiting for a buyer to process.
The AI Agent is designed around three principles. First, every confirmation is validated against the organization's master data and the original PO before anything is updated in ERP or sent back to the supplier. Second, the AI Agent communicates in clear, professional language that mirrors how the buyer team already writes. Third, buyers retain full control.
The AI Agent does not negotiate, escalate disputes, or make commitments on behalf of the buyer. When something falls outside the standard flow, it escalates with full context so the buyer can engage the supplier directly.
In practice, suppliers often respond faster and more consistently when the follow-up cadence is quick and reliable.

Most supply chain leaders we speak with point to the same three outcomes.
| Impact Area | Before Implementation | After Implementation | Savings |
|---|---|---|---|
| People Overhead | 30 FTEs / $1.9M annual cost | 9 FTEs / $1.0M annual cost | $900K saved / 70% reduction |
| Expedites & Safety Stock | $3.4M annual cost | $1.2M annual cost | $2.2M saved / 65% reduction |
| Supplier OTIF | 84% OTIF | 91% OTIF | +7 points |
| Total Annual Savings | $3.1M |
Unlike traditional software projects, an AI Agent does not require upfront data cleaning, 12-month global rollout, or supplier onboarding. A pilot can start with one buyer team and their highest-volume supplier segment, with minimal IT resources.
The AI Agent connects to the organization's existing email environment and ERP through a lightweight integration. It is like adding a new team member who understands the organization's standard operating procedures and starts working. Suppliers keep doing exactly what they do today. Buyers keep using the same inbox. The manual work in between is handled by the AI Agent.
Organizations can prove ROI within the first eight weeks with a single buyer team and use the results to build the business case for a broader rollout.
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