Nanonets 01月14日
How to prevent order discrepancy with automated PO-SO matching
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文章探讨了一家中型分销商如何解决订单差异问题,通过自动化订单验证流程,在不增加人力和不干扰现有工作流程的情况下,提高了工作效率,改善了财务状况。

订单差异导致诸多问题,如客户拒付、资金占用、利息损失等

防止订单差异复杂,涉及多种因素,如产品描述、支付条款等

自动化订单验证流程,与现有系统集成,提高效率和准确性

实施分阶段进行,根据客户需求分类,设置每日检查

If you run a distribution business, you know the drill: A customer rejects an invoice over a purchase order discrepancy, their payment terms reset, and they sit on your working capital while you pay 9%+ interest.

Let’s explore how a mid-sized distributor solved this by scaling their purchase order-sales order verification process before shipping – without adding headcount or disrupting existing workflows.

The real cost of order discrepancies in distribution

Order discrepancies often slip through to post-shipping discovery. It's inevitable when you're processing thousands of orders monthly. But when your customer rejects an invoice because their purchase order (PO) doesn't match your sales order (SO), they're not just creating a headache — they're holding onto your working capital.

For one mid-sized distributor processing 4,000 orders monthly, this meant significant costs and strained accounts receivable cycles. Their accounting team could only manually verify SOs against POs when the value exceeded $10,000, leaving most shipments vulnerable to costly discrepancies. 

At current interest rates above 9%, every delayed payment hit hard. Once materials are delivered, customers have zero urgency to fix these issues. Each invoice revision resets payment terms, creating a costly cycle of delays and working capital constraints. Beyond that, these discrepancies could also frustrate customers and potentially lead to the loss of future business.

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86% of B2B retailer buyers are willing to switch suppliers if another supplier offers a better experience.

Why preventing order discrepancies is more complex than it seems

In distribution, matching POs and SOs isn't just about comparing numbers. Your customers might list 10-inch 600-pound stainless steel while you show 10-inch 600# SS. Some send two-page POs, and others send 60 pages with elaborate terms and conditions. Add multiple plant locations, varying payment terms, and lot charge orders — verifying orders before fulfillment becomes increasingly challenging.

The distributor's order processing workflow before automation was typical of many industrial suppliers.

Order discrepancies create costly downstream problems

Beyond the obvious time constraints, manually comparing SOs against POs created several downstream problems that worsened over time.

Here's what was happening:

The time and cost investment was substantial. Let's say the accounting manager is making around $60.44/hour (median hourly wage for the role in the US) — that's a senior talent you're paying to match POs line by line manually. For this distributor, with 734 high-value orders annually and 30 minutes per check, that meant burning through $22,181 just on manual verification. And we're not even counting the hours spent chasing corrections and other additional tasks.

Additionally, the payment clock resets whenever a customer rejects an invoice due to a discrepancy with the PO. So, at 9.5% interest, a 60-day delay on a single $10,000 order cost them $158 in interest alone. Now multiply that across hundreds of orders. Suddenly, those minor verification issues are bleeding tens of thousands in interest costs annually.

The distributor knew they needed to catch PO-SO discrepancies before shipping—when they still had leverage to get issues fixed. But any solution needed to work alongside their existing order processing and fulfillment workflow, not replace it. That's when they approached us at Nanonets.

Are order discrepancies hurting your cash flow?

Let's discuss how this distributor prevented costly discrepancies while maintaining their existing workflows. We'll walk you through their implementation journey, the APIs and integrations, the specific results, and how you can achieve similar outcomes without disrupting your sales process!

How we automated PO-SO matching

In this distributor's case, automating order verification required significant change management. While we could automate the entire workflow from order entry to shipping, we knew that would involve retraining the sales team and disrupting established processes. 

That's why we began by automating how they verified their sales orders against purchase orders.

We realized we could deliver immediate value here. Nanonets integrated with the distributor's Business Edge ERP and document management system – streamlining purchase and sales order capture. This way, the sales teams could keep their existing workflow while the automated order matching ran in the background, catching discrepancies before they became costly problems.

Here’s what the workflow looked like:

The implementation process

Working with the distributor, we took a phased approach. We started with their highest-value orders above $10,000. This allowed them to benchmark our system against their existing manual verification process while minimizing risk. They also categorized their customers based on verification needs — some required exact matches on every field, while others mainly focused on totals and quantities.

We worked with the distributor to train our system to handle these PO-SO variations. This included:

We set up multiple daily checks during business hours (7:30 AM - 4:30 PM CT). The system periodically checks for new purchase orders, pulls the corresponding sales order details from Business Edge, and runs the verification process — all in the background.

The system then automatically flags issues based on severity:

Critical issues requiring immediate attention:

Non-critical issues for review:

This new automated workflow helped centralize their verification process, with a dedicated order processing role handling all system alerts. This ensured consistent processing of flagged items and exceptions while maintaining efficiency.

The impact of automated PO-SO matching on order processing

Within 90 days, we helped them achieve a 90% STP (Straight Through Processing) rate — the percentage of orders being verified automatically without any manual intervention — and 90% accuracy in data extraction and matching. This was a significant improvement from the initial 70-75% accuracy rate during early implementation.

The results were transformative:

Operational improvements:

Financial and cash flow impact:

Process improvement:

The success led the distributor to create a dedicated order processing position, handling the small percentage of orders that needed human review. This streamlined approach maintained both the high STP rate and accuracy while scaling to handle their full order volume.


Ready to automate your order processing end-to-end?

PO-SO matching is just the starting point. We can help automate your entire order processing workflow — from sales order creation to fulfillment and shipping. Book a demo today to see how we can help you.

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相关标签

订单差异 自动化验证 分销流程 工作效率 财务状况
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