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    Home » How to prevent order discrepancy with automated PO-SO matching
    AI Technology

    How to prevent order discrepancy with automated PO-SO matching

    ProfitlyAIBy ProfitlyAIApril 4, 2025No Comments8 Mins Read
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    When you run a distribution enterprise, you recognize the drill: prospects usually reject invoices because of buy order and bill discrepancies, resetting their fee 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 by means of to post-shipping discovery. It is inevitable while you’re processing hundreds of orders month-to-month. However when your buyer rejects an bill as a result of their buy order (PO) does 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 workforce might solely manually confirm SOs towards POs when the worth exceeded $10,000, leaving most shipments susceptible to pricey discrepancies. 

    At present rates of interest above 9%, each delayed fee hit onerous. As soon as supplies are delivered, prospects have zero urgency to repair these points. Every bill revision resets fee phrases, making a pricey 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 prepared to modify suppliers if one other provider presents a greater expertise.

    Why stopping order discrepancies is extra complicated than it appears

    In distribution, matching POs and SOs is not nearly evaluating numbers. Your prospects may listing 10-inch 600-pound stainless-steel whilst you present 10-inch 600# SS. Some ship two-page POs, and others ship 60 pages with elaborate phrases and situations. Add a number of plant areas, various fee 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
    Guide workflow earlier than implementing Nanonets

    Order discrepancies create pricey downstream issues

    Past the apparent time constraints, manually evaluating SOs towards POs created a number of downstream issues that worsened over time.

    Here is what was taking place:

    • Solely orders above $10,000 may very well 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 various between prospects and inner techniques (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 value funding was substantial. As an example the accounting supervisor is making round $60.44/hour (median hourly wage for the role in 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 test, that meant burning by means of $22,181 simply on guide verification. And we’re not even counting the hours spent chasing corrections and different further duties.

    Moreover, the fee clock resets every time a buyer rejects an bill because of 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 tons of of orders. Abruptly, these minor verification points are bleeding tens of hundreds in curiosity prices yearly.

    The distributor knew they wanted to catch PO-SO discrepancies earlier than transport—once 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 once they approached us at Nanonets.

    Order processing time

    Are order discrepancies hurting your money movement?

    ▼

    Let’s talk about how this distributor prevented pricey discrepancies whereas sustaining their current workflows. We’ll stroll you thru their implementation journey, the APIs and integrations, the particular outcomes, and how one can obtain related 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 your entire workflow from order entry to transport, we knew that will contain retraining the gross sales workforce and disrupting established processes. 

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

    We realized we might ship quick 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 pricey issues.

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

    Right here’s what the workflow appeared like:

    • Gross sales workforce receives buy order and creates gross sales order as common
    • Buy order will get uploaded to their doc administration system
    • Our system robotically detects new buy orders
    • System pulls corresponding gross sales order particulars from Enterprise Edge
    • System verifies gross sales order particulars towards buy order
    • Discrepancies get flagged earlier than transport
    • Order processing workforce receives alerts for assessment
    • 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 towards their current guide verification course of whereas minimizing threat. In addition they categorized their prospects based mostly 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 complicated layouts, codecs, and emailed orders
    • Managing a number of plant areas
    • Understanding varied product descriptions
    • Processing completely different fee time period codecs

    We arrange a number of day by day checks throughout enterprise hours (7:30 AM – 4:30 PM CT). The system periodically checks for brand 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 robotically flags points based mostly on severity:

    Crucial points requiring quick consideration:

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

    Non-critical points for assessment:

    • Delivery element variations
    • Line merchandise matches
    • Deal with format variations

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

    The impression of automated PO-SO matching on order processing

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

    The outcomes had been transformative:

    Operational enhancements:

    • Simply processing 17-18 information day by day by means of automated order matching
    • Error charges diminished to only 1-2 points per batch requiring guide assessment
    • Automated checks working all through enterprise hours (7:30 AM – 4:30 PM CT)
    • Deal with complicated distribution eventualities like will-call orders and a number of transport areas by means of 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
    • Decreased order cycle time from receipt to transport

    Monetary and money movement impression:

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

    Course of enchancment:

    • Centralized processing by means of devoted order processing position
    • System robotically flags points based mostly on severity
    • Actual-time alerts despatched to related workforce members
    • Complete monitoring by means of Energy BI dashboards
    • Customized validation guidelines for particular buyer necessities
    • Automated exception flagging and opinions changed guide line-by-line matching

    The success led the distributor to create a devoted order processing place, dealing with the small share of orders that wanted human assessment. This streamlined method maintained each the excessive STP price 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 total order processing workflow — from gross sales order creation to achievement and transport. Ebook a demo at present to see how we might help you.



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