Purchase Order Accuracy: Why 30% of POs Have Errors and How to Eliminate Them

The true cost of a single PO error#

A simple PO error — wrong quantity or incorrect SKU — generates: supplier confusion and delay (3-5 days average), internal discussion and resolution (2-3 hours of your team's time), possible reshipment cost (SGD 50-200), and inventory adjustment work. Aggregate across a business that issues 50 POs per month, 30% with errors = 15 flawed POs × SGD 300 average resolution cost = SGD 4,500 per month or SGD 54,000 annually. This is pure waste and an indicator of supplier relationship risk — suppliers who receive frequent erroneous POs reduce their engagement, increase lead times, and become less flexible on price and terms.

The most common PO errors#

Quantity mismatches: ordering 100 units when you intended 1,000 (or vice versa). SKU/item number errors: referencing an old product code or misspelling a product name. Missing or wrong specifications: colour, size, packaging, or technical specifications omitted or incorrectly stated. Pricing errors: PO issued at a price different from the last invoice or agreed quote. Delivery address or contact wrong: goods shipped to the wrong location or contact person unclear. Payment terms or incoterms inconsistent with supplier's standard or most recent agreement.

PO structure to minimize errors#

Use a standardised PO template with mandatory fields — supplier name and code, delivery address with contact, PO date, required delivery date, payment terms, incoterms. Line items include: item number (your internal code), supplier SKU, description, quantity with unit, unit price, total line price, delivery date if different from header. Add a verification checklist: has the supplier code been verified against your supplier database, are quantities reasonable for this product category, does pricing match the most recent quote, are delivery terms achievable with this supplier. Require at least two people to sign off on POs above SGD 5,000.

Automated PO validation rules#

Quantity check: flag orders where quantity is an outlier vs historical average (more than 50% above or below 6-month average). Price check: flag unit prices that differ by more than 5% from recent history. SKU validation: require supplier SKU to match against supplier's master catalogue. Delivery feasibility: cross-check required delivery date against supplier's typical lead time — flag if delivery date is impossible. Contact validation: verify delivery address and contact against approved locations.

AskBiz PO Automation#

AskBiz automates PO creation from your forecast and inventory levels, validates every PO against your rules before sending, and tracks PO accuracy metrics by supplier and category. When a PO error occurs it flags it immediately and suggests the correction. Ask it: which suppliers receive the most error-prone POs from us, what is my overall PO accuracy rate, show me the POs most likely to have quantity or pricing errors.

Worked example: a UK hardware retailer's SKU mix-up#

A UK hardware retailer issued a PO to a fastener supplier for 5,000 units of a 25mm zinc-plated bolt, referencing an internal SKU that had been reused eight months earlier for a discontinued 20mm variant. The supplier's order desk matched on the SKU rather than the text description, and shipped 5,000 of the wrong bolt. The retailer discovered the error only when the goods-in team tried to match the delivery against a customer order and the dimensions didn't fit. Resolving it took a week: negotiating a partial return, expediting the correct part at the retailer's freight cost, and manually adjusting inventory records that had already been updated with the wrong item. Total cost was around £1,100 in freight, restocking, and staff time — for an error that a simple rule (flag any SKU inactive for more than 90 days) would have caught before the PO was ever sent.

Building a two-person sign-off that doesn't slow you down#

Many SMBs resist two-person PO approval because they assume it adds days to the process. Done correctly it adds minutes. The first person creates the PO from the standard template. The second person's job is not to re-derive the order from scratch — it is to run through the verification checklist: does the supplier code match, is the quantity within the normal range for this product, does the price match the last invoice, is the delivery date realistic. This second pass takes under two minutes for a routine order and catches the errors that single-person review consistently misses, because the person who made the mistake is the least likely person to spot it in their own work.

Why PO errors compound with supplier trust over time#

The direct cost of a PO error — the reshipment, the wasted hours — is usually the smaller cost. The larger cost is what happens to the relationship. A supplier who fields three erroneous POs in a month starts double-checking every order from you before processing it, adding a day or two to their internal turnaround. They become less willing to prioritise your rush orders, less flexible on last-minute changes, and slower to extend better terms at renewal. Suppliers remember which customers make their job harder. Fixing PO accuracy is as much about protecting the relationship's flexibility as it is about avoiding the immediate error cost.