Order.co has added a suite of AI tools to its procure-to-pay platform that it says will automate catalogue building, flag atypical orders, execute vendor portal fulfilment and speed reconciliation — promising big time and cost savings that, so far, rest on the vendor’s own benchmarks and will hinge on integrations, security and audit controls.
Order.co has expanded its procure‑to‑pay offering with a new suite of AI tools the company says will automate buying, tighten spend controls and accelerate reconciliation across finance and procurement teams.
According to the announcement, Order.co AI draws on almost a decade of transaction data to power features such as automated catalogue building, atypical‑order flagging, purchase‑order generation, automated vendor fulfilment through third‑party portals, email scanning for shipment updates and line‑level reconciliation. The vendor claims organisations using its AI‑driven automation are saving as much as half their costs on some processes and recovering up to twenty hours of labour a week, figures the company attributes to an internal benchmark report.
The release frames the product as more than insight: a “system of action” that both recommends and executes tasks. “We didn’t just tack AI onto our platform; we built it into the foundation,” Tom Jaklitsch, co‑founder and chief technology officer at Order.co, said in the company announcement. The chief executive described the capability as freeing staff to act as “orchestrators” while the software handles repetitive work.
Order.co is not a newcomer. The business traces its roots to 2016 and — the company says — repositioned itself after a multi‑million‑dollar Series B in early 2022. Its marketing and website materials highlight integrations with accounting and ERP systems and point to case studies with large customers that attribute measurable reductions in manual accounts‑payable work following deployment. One published customer account quotes a finance transformation manager at a major flexible‑workspace operator praising automated three‑way matching and quicker requisition processing after integrating the platform with the customer’s ERP.
Yet the announcement’s bold savings claims should be read alongside several qualifying points. The performance figures cited come from the vendor’s own benchmark, and no independent verification of the specific percentages was provided in the release. The company’s product pages and demo sign‑up flow also make clear the sales process includes tailored walkthroughs to assess integrations, security and the realistic savings a given customer might expect — a signal that outcomes will depend heavily on each organisation’s existing systems, vendor base and implementation scope.
There are also practical and governance questions when procurement software takes direct action on behalf of users. Order.co’s automation includes logging into suppliers’ e‑commerce sites and completing purchases using stored payment and shipping credentials. While that approach can speed fulfilment for suppliers without formal PO APIs, it raises familiar concerns around credential management, audit trails and vendor‑portal stability that buyers and their IT teams will need to evaluate during procurement and security reviews.
Order.co’s stated data foundation — models trained on nine years of B2B buying behaviour spanning thousands of customers, tens of thousands of vendors and millions of orders — is presented as a differentiator, enabling more accurate recommendations and anomaly detection. But reliance on proprietary historical transaction data can cut both ways: it may provide immediate practical patterns that improve automation, yet could also entrench supplier choices or create dependencies that complicate migration or multi‑vendor architectures.
The vendor positions its new AI capabilities as building on existing product functionality used by customers to consolidate suppliers and automate invoice workflows. The company’s commercial pages promote average product savings and a reduction in procurement time, and the demo page is structured to funnel prospective customers into personalised sales engagements where technical compatibility and security postures are assessed before adoption.
Industry observers note that claims about dramatic reductions in cost and time are common among procurement technology providers; the actual return on investment typically varies by sector, company size and the maturity of procurement processes. Organisations evaluating Order.co AI will therefore need to prioritise proof‑points that matter to them: how the system handles multi‑currency and multi‑legal‑entity environments, the granularity of audit trails for compliance, and the robustness of integrations with their ERP and payment rails.
In sum, Order.co’s announcement signals a continued move by procurement software vendors from advisory analytics toward automated execution. The vendor’s combination of transaction history, catalogue automation and fulfilment tooling may deliver practical efficiencies for some buyers, particularly those with high-volume, repeat purchasing needs. But the scale of the gains promised in the release will depend on integration complexity, security controls and independent validation of the vendor’s benchmark outcomes — factors procurement and finance teams are likely to scrutinise during any proof‑of‑concept or pilot.
Source: Noah Wire Services
