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    Home»AI Breakthroughs»Find out how to stop order discrepancy with automated PO-SO matching
    AI Breakthroughs

    Find out how to stop order discrepancy with automated PO-SO matching

    Hannah O’SullivanBy Hannah O’SullivanApril 19, 2025No Comments8 Mins Read
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    Find out how to stop order discrepancy with automated PO-SO matching
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    In the event you run a distribution enterprise, you recognize the drill: prospects usually reject invoices attributable to buy order and bill discrepancies, resetting their cost phrases whereas tying up your working capital at 9%+ curiosity.

    Let’s discover how a mid-sized distributor solved this by scaling their buy order-sales order verification course of earlier than transport – with out including headcount or disrupting current workflows.

    The true price of order discrepancies in distribution

    Order discrepancies usually slip via to post-shipping discovery. It is inevitable whenever you’re processing 1000’s of orders month-to-month. However when your buyer rejects an bill as a result of their buy order (PO) would not match your gross sales order (SO), they are not simply making a headache — they’re holding onto your working capital.

    For one mid-sized distributor processing 4,000 orders month-to-month, this meant important prices and strained accounts receivable cycles. Their accounting crew might solely manually confirm SOs in opposition to POs when the worth exceeded $10,000, leaving most shipments weak to expensive discrepancies. 

    At present rates of interest above 9%, each delayed cost hit laborious. As soon as supplies are delivered, prospects have zero urgency to repair these points. Every bill revision resets cost phrases, making a expensive cycle of delays and dealing capital constraints. Past that, these discrepancies might additionally frustrate prospects and probably result in the lack of future enterprise.

    💡

    86% of B2B retailer patrons are keen to change suppliers if one other provider provides a greater expertise.

    Why stopping order discrepancies is extra advanced than it appears

    In distribution, matching POs and SOs is not nearly evaluating numbers. Your prospects would possibly record 10-inch 600-pound stainless-steel when you present 10-inch 600# SS. Some ship two-page POs, and others ship 60 pages with elaborate phrases and circumstances. Add a number of plant areas, various cost phrases, and lot cost orders — verifying orders earlier than achievement turns into more and more difficult.

    The distributor’s order processing workflow earlier than automation was typical of many industrial suppliers.

    Manual workflow before implementing Nanonets
    Handbook workflow earlier than implementing Nanonets

    Order discrepancies create expensive downstream issues

    Past the plain time constraints, manually evaluating SOs in opposition to POs created a number of downstream issues that worsened over time.

    This is what was taking place:

    • Solely orders above $10,000 might be manually checked — leaving most orders unverified
    • Every guide matching took half-hour of senior accounting supervisor’s time
    • Smaller orders had been shipped with out correct verification, carrying hidden dangers
    • Discrepancies surfaced solely throughout invoicing, resulting in bill rejections
    • Working capital and accounts receivable tied up for 60-90 days at ~9.5% curiosity
    • Points found after transport when prospects had no urgency to repair
    • Technical half descriptions diversified between prospects and inside methods (Instance: ZP vs zinc plated), complicating guide checks
    • A number of transport areas shared zip codes however wanted completely different gate numbers, risking supply errors and dear reshipments

    The time and price funding was substantial. As an example the accounting supervisor is making round $60.44/hour (median hourly wage for the function within the US) — that is a senior expertise you are paying to match POs line by line manually. For this distributor, with 734 high-value orders yearly and half-hour per examine, that meant burning via $22,181 simply on guide verification. And we’re not even counting the hours spent chasing corrections and different further duties.

    Moreover, the cost clock resets every time a buyer rejects an bill attributable to a discrepancy with the PO. So, at 9.5% curiosity, a 60-day delay on a single $10,000 order price them $158 in curiosity alone. Now multiply that throughout lots of of orders. Out of the blue, these minor verification points are bleeding tens of 1000’s in curiosity prices yearly.

    The distributor knew they wanted to catch PO-SO discrepancies earlier than transport—after they nonetheless had leverage to get points fastened. However any answer wanted to work alongside their current order processing and achievement workflow, not exchange it. That is after they approached us at Nanonets.

    Order processing time

    Are order discrepancies hurting your money movement?

    ▼

    Let’s talk about how this distributor prevented expensive discrepancies whereas sustaining their current workflows. We’ll stroll you thru their implementation journey, the APIs and integrations, the precise outcomes, and how one can obtain comparable outcomes with out disrupting your gross sales course of!

    How we automated PO-SO matching

    On this distributor’s case, automating order verification required important change administration. Whereas we might automate the complete workflow from order entry to transport, we knew that might contain retraining the gross sales crew and disrupting established processes. 

    That is why we started by automating how they verified their gross sales orders in opposition to buy orders.

    We realized we might ship rapid worth right here. Nanonets built-in with the distributor’s Enterprise Edge ERP and doc administration system – streamlining buy and gross sales order seize. This fashion, the gross sales groups might maintain their current workflow whereas the automated order matching ran within the background, catching discrepancies earlier than they turned expensive issues.

    Here's how Nanonets reduced order discrepancy by automating PO-SO matching
    This is how Nanonets diminished order discrepancy by automating PO-SO matching

    Right here’s what the workflow regarded like:

    • Gross sales crew receives buy order and creates gross sales order as common
    • Buy order will get uploaded to their doc administration system
    • Our system mechanically detects new buy orders
    • System pulls corresponding gross sales order particulars from Enterprise Edge
    • System verifies gross sales order particulars in opposition to buy order
    • Discrepancies get flagged earlier than transport
    • Order processing crew receives alerts for evaluate
    • All verifications get logged for monitoring and evaluation

    The implementation course of

    Working with the distributor, we took a phased method. We began with their highest-value orders above $10,000. This allowed them to benchmark our system in opposition to their current guide verification course of whereas minimizing threat. In addition they categorized their prospects primarily based on verification wants — some required precise matches on each discipline, whereas others primarily centered on totals and portions.

    We labored with the distributor to coach our system to deal with these PO-SO variations. This included:

    • Dealing with advanced layouts, codecs, and emailed orders
    • Managing a number of plant areas
    • Understanding numerous product descriptions
    • Processing completely different cost time period codecs

    We arrange a number of every day checks throughout enterprise hours (7:30 AM – 4:30 PM CT). The system periodically checks for brand spanking new buy orders, pulls the corresponding gross sales order particulars from Enterprise Edge, and runs the verification course of — all within the background.

    The system then mechanically flags points primarily based on severity:

    Essential points requiring rapid consideration:

    • Whole quantity mismatches
    • PO quantity discrepancies
    • Cost time period variations

    Non-critical points for evaluate:

    • Delivery element variations
    • Line merchandise matches
    • Handle format variations

    This new automated workflow helped centralize their verification course of, with a devoted order processing function dealing with all system alerts. This ensured constant processing of flagged gadgets and exceptions whereas sustaining effectivity.

    The influence of automated PO-SO matching on order processing

    Inside 90 days, we helped them obtain a 90% STP (Straight By way of Processing) fee — the share of orders being verified mechanically with none guide intervention — and 90% accuracy in information extraction and matching. This was a major enchancment from the preliminary 70-75% accuracy fee throughout early implementation.

    The outcomes had been transformative:

    Operational enhancements:

    • Simply processing 17-18 information every day via automated order matching
    • Error charges diminished to simply 1-2 points per batch requiring guide evaluate
    • Automated checks operating all through enterprise hours (7:30 AM – 4:30 PM CT)
    • Deal with advanced distribution situations like will-call orders and a number of transport areas via customized guidelines
    • Automated order matching protection expanded to all incoming orders – no extra $10,000 threshold
    • Early PO-SO verification smoothed out downstream 3-way matching processes
    • Lowered order cycle time from receipt to transport

    Monetary and money movement influence:

    • Catching buy order and bill discrepancies earlier than transport — when fixes are simpler
    • Cost delays diminished via pre-shipping verification
    • Lowered publicity to 9.5% rates of interest on delayed funds
    • Senior accounting expertise redirected to strategic work
    • Higher working capital administration via sooner bill reconciliation
    • Curiosity prices minimized by stopping 60+ day cost delays

    Course of enchancment:

    • Centralized processing via devoted order processing function
    • System mechanically flags points primarily based on severity
    • Actual-time alerts despatched to related crew members
    • Complete monitoring via Energy BI dashboards
    • Customized validation guidelines for particular buyer necessities
    • Automated exception flagging and critiques changed guide line-by-line matching

    The success led the distributor to create a devoted order processing place, dealing with the small proportion of orders that wanted human evaluate. This streamlined method maintained each the excessive STP fee and accuracy whereas scaling to deal with their full order quantity.


    Order processing time

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

    ▼

    PO-SO matching is simply the place to begin. We might help automate your complete order processing workflow — from gross sales order creation to achievement and transport. E-book a demo right this moment to see how we might help you.

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