AI order entry vendors in 2026: 18 platforms for distributors and manufacturers

Eighteen AI order entry vendors now sell software that reads an incoming purchase order and writes a sales order into your ERP. They are not doing the same job. This guide covers what each one automates, which industries and ERP systems it targets, and how to tell the categories apart before you sit through a single demo.

Key takeaways

Interest in AI is not the bottleneck. In its State of AI in Distribution 2026 survey of 233 North American distribution executives, Distribution Strategy Group found that 93% call AI a strategic priority while only 16% have scaled it past pilots.

The 18 vendors fall into four groups: order entry specialists, broad distributor AI suites, ERP-embedded document tools, and buy-side procurement agents.

Reading the document is the easy half. Applying your pricing, unit-of-measure, and quote-matching rules is the half that decides whether the project works.

Gartner expects more than 40% of agentic AI projects to be canceled by the end of 2027, citing cost, unclear business value, and weak risk controls.

Why is order entry still manual at most distributors?

Because the work resists the two things software usually needs: standard input and fixed rules. Most distributors and manufacturers still receive a large share of orders as unstructured documents, and wholesale trade lags most of the economy on AI adoption. The U.S. Census Bureau's Business Trends and Outlook Survey, run from December 2025 through May 2026, put overall business AI adoption at 17% to 20%, with wholesale trade, manufacturing, and retail all below that national average.

Picture the actual desk: an email body, a PDF purchase order, a spreadsheet, a scanned or handwritten sheet, and sometimes still a fax. Someone on the customer service team opens each one, finds the customer and the ship-to address, matches every line to the right SKU, checks pricing and availability, and types it into the ERP.

The time that takes is real, and it compounds per line rather than per order. Before automating with Y Meadows, the metal roofing manufacturer Fabral spent 90 to 120 seconds on every order line and hired 30 or more temporary staff each season, each needing six months of training. Afterward, line entry was near-instant, and the order desk ran with 23% fewer people - seven positions out of thirty. Those are our own published numbers. Check to see if every vendor on this list proves a comparable claim on your documents.

Two things make this hard rather than merely tedious. One, the inputs never standardize: one account sends a clean Excel file, the next sends a photo of a handwritten list, and both are normal. Two, every business runs its own rules: Quote-to-order matching, unit-of-measure conversions, customer-specific part numbers, gauge and color logic, contract pricing checks, special handling notes. Reading the order is half the work. Applying your rules is the other half, and that’s where these products separate.

What should you compare when evaluating AI order entry vendors?

Six things, and only two of them show up in a standard demo. Vendors converge on the same claims about extraction accuracy, so the differences that matter sit downstream of the reading step. For an in-depth explanation, we wrote “How to Choose an AI Order Entry Solution.” The condensed version is:

1. Ask which half of the job the product automates. Some stop at structured data you still have to review. Others apply your business rules and write the order, and the gap between the two is most of the labor.
2. Find out how it writes to your ERP. A certified connector to SAP or NetSuite is a different project from screen automation against a 20-year-old proprietary system.
3. Establish who does the implementation. Some vendors ship a self-serve tool and leave the configuration work to you. Others staff it. Your team's available hours decide which model is realistic.
4. Ask what happens on an exception. Every product will hit an order it cannot resolve, so ask to see the review queue, who receives the item, and how the system learns from the correction.
5. Model how pricing tracks volume. Per-order, per-seat, and platform pricing behave very differently in a peak season, so price your worst month rather than your average one.
6. Ask where your data goes. Do your documents train the vendor's models? Ask for the certifications rather than the adjective: SOC 2 Type II and ISO 27001 are checkable, and "enterprise-grade security" is not.

This list is worth running because extraction is now a commodity. A well-prompted general model reads a clean PDF fine. What you are actually buying is the rules layer, the ERP write path, and someone to own both when a customer changes their PO template.

Which AI order entry vendors serve distributors in 2026?

These 18 vendors all touch the path from inbound order to ERP record, but they start from different places. Four rough groups help:

Order entry and document specialists make the order the product: Conexiom, Esker, Hypatos, Logistify AI, Lucy by Advantive, SPS Commerce, Turian, VAO, and Y Meadows.

Broad distributor AI suites treat order entry as one module beside quoting, e-commerce, and accounts payable: Canals, Choco, Distro, Endeavor AI, Revalgo, and WizCommerce.

ERP-embedded tools live inside a single ERP, which describes Continia.

Buy-side procurement agents work the purchasing side rather than the sales desk: Didero and Leverage AI.

Canals

Canals brings AI automation to distributors, manufacturers, and contractors across the construction and industrial supply chain. It automates order entry and quoting, invoice and accounts-payable processing, PO and receipt tracking, and part-number conversion across catalogs, plus AI chat for customer questions. The company works with electrical, plumbing, HVAC, mechanical, industrial and MRO, lumber, and building-materials businesses, and says its ERP and CRM connectors are plug-and-play with implementations running in days. In May 2026, Canals raised a $35 million Series A led by Base10 Partners and reported more than 100 distributor customers.

Choco

Choco is built specifically for food and beverage wholesalers. Its flagship product, OrderAgent, reads orders that arrive by voicemail, email, text, and handwritten note, then posts them into the distributor's ERP. Around that sit an AI-powered e-commerce storefront, a mobile SalesHub for reps, and a CRM made for foodservice. Choco connects to ERP systems including NetSuite, QuickBooks, and Microsoft Dynamics, and in 2026 it announced a voice agent built with OpenAI for calls between restaurants and distributors.

Conexiom

Conexiom captures, validates, and converts sales orders and purchase orders for manufacturers and distributors, pulling data out of PDFs, Excel files, emails, CSVs, images, and handwritten notes. Orders are checked against ERP data and corrected before they post, and teams can set how much runs hands-off. The platform integrates with SAP, Oracle NetSuite, Microsoft Dynamics 365, and Epicor. In July 2026 Conexiom expanded its partnership with Epicor to cover Eclipse and Prophet 21 users, and in September 2026 it launched Relay, an AI-native order and invoice product.

Continia

Continia builds document automation and finance tools that live entirely inside Microsoft Dynamics 365 Business Central, so your team never leaves the ERP to use them. Its Document Capture module handles OCR-based accounts-payable automation, alongside modules for banking, finance, expense management, collections, and document output. The company has been building for Business Central and its predecessors for more than 30 years. For a Business Central shop, it automates document-heavy work without adding a separate system.

Didero

Didero runs AI agents for procurement and supply-chain work on top of your existing ERP and communication channels, without asking you to replace anything. The agents handle sourcing and quoting, purchase-order workflows, supplier messages, receiving, accounts payable, and exception resolution, and they keep ERP records current as they go. Didero serves industrials, wholesale and distribution, food and beverage, chemicals, high-tech, packaging, construction, and telecom, and notes that suppliers do not have to be onboarded to participate. In February 2026 the company raised a $30 million Series A co-led by Chemistry and Headline, with participation from M12, Microsoft's venture fund.

Distro

Distro is an AI sales operating system for distributors and manufacturers' reps that follows the work from quote to order. AutoBid processes RFQs and POs with live, ERP-connected pricing and availability. TakeOffs reads project drawings and specs into structured material lists. QuoteTech handles commercial quoting in categories like HVAC and refrigeration, and additional agents cover AP invoice matching and embedded e-commerce support. It connects with Epicor, Infor, NetSuite, Acumatica, Salesforce, and SAP, and focuses on industrial distribution and project-based commercial sales.

Endeavor AI

Endeavor AI puts AI agents to work on back-office workflows for manufacturing and distribution companies. Its scope includes order entry, accounts-payable three-way matching, accounts-receivable collections, and phone-call automation. It reads unstructured data from calls, emails, PDFs, and spreadsheets, then writes the results into the ERP and CRM. The company describes implementations finishing in about a month, as the AI picks up a business's processes from its connected systems.

Esker

Esker runs a global cloud platform for source-to-pay and order-to-cash, with an order-management product that has been in the market for years. It captures orders from email, EDI, portals, e-commerce, punchout, and mobile, then uses AI to pull header and line data, validate it against the ERP, flag exceptions, and answer questions for both service teams and customers. Esker ships a certified SAP connector, and it is named a Leader in the Gartner Magic Quadrant for Source-to-Pay Suites. Of the group, it is the most likely to be evaluated by a CFO rather than an operations lead.

Hypatos

Hypatos offers an enterprise order-management AI agent that takes an order from any source and carries it through. It matches lines to current product catalogs, fills in customer master data, contract terms, shipping addresses, and quote details, classifies and routes documents, and screens for duplicates and non-compliant items with reason codes. Instead of custom code, teams set up processes in plain language through an AI Agent Studio. It aims at enterprise order workflows, especially those running on SAP, Workday, or Coupa.

Leverage AI

Leverage AI is a supply-chain visibility platform for manufacturers and distributors, weighted toward the buy side of the order. It automates supplier follow-ups, PO acknowledgments, lead-time updates, and shipment notifications using email-based smart purchase orders that need very little supplier setup, and it surfaces supplier scorecards and open-order reporting inside the ERP. The platform plugs into SAP, Oracle, Dynamics 365, NetSuite, and Epicor, and a 24/7 team called Leverage Pros helps customers stay on top of supplier performance and on-time delivery.

Logistify AI

Logistify AI targets distributors and manufacturers still running QuickBooks Desktop with AI order-entry agents. It connects through the QuickBooks Desktop SDK, reading customer and item catalogs from the local install and writing confirmed sales orders back, with no ERP migration. Orders can arrive by email, WhatsApp, SMS, or paper, and the system handles plain-language requests like "same as last week, add two cases of the blue," turning inbound messages into posted records.

Lucy by Advantive

Lucy, from Advantive, turns inbound purchase orders into ERP-ready sales orders around the clock, reading PDFs, HTML, emails, and plain text. It writes complete orders with product, quantity, and price details into the ERP, so teams don’t have to key them in by hand. Lucy works with wholesale distributors and specialty manufacturers in industries like janitorial and sanitation supply, bearings, HVAC, and fasteners, and it is part of Advantive's wider portfolio of operational software, with its own support and training resources.

Revalgo

Revalgo takes a conversational approach to B2B automation for distributors and manufacturers. It watches customer messages across email, text, chat, and voice, and turns natural-language requests into sales orders, quotes, and procurement actions in the ERP, with no part numbers or special forms required from the customer. The product splits into Sales Automation, which digitizes sales-team workflows, and Supply Chain Automation, which sources both stock and non-stock products using live price and availability data. A human reviews and approves before any process runs on its own.

SPS Commerce

SPS Commerce runs one of the largest retail supply-chain networks, with more than 4,000 buying organizations, and its PDF Order Automation stretches that network to cover non-EDI orders. AI-assisted mapping learns the structure and meaning of each document, then translates PDFs, spreadsheets, and email orders into the same workflow you already use for EDI, so mixed order types run through one process. It draws on more than 400 pre-built system integrations for ERP, OMS, and WMS platforms, and it is built to absorb seasonal spikes.

Turian

Turian fields AI agents that take over sales and procurement email work. They read free-text emails, along with PDF, Excel, Word, and image attachments, with no training, and handle sales-order entry, quotation generation, order confirmations, and supplier PO and delivery updates. Turian connects to SAP, Microsoft Dynamics 365, and Salesforce, as well as Gmail and Outlook, with human-in-the-loop controls on the sensitive steps. It also states plainly that customer data is not used to train its models.

VAO

VAO does intelligent document processing and workflow automation across supply-chain documents, including sales orders. On the intake side, it monitors mailboxes, sorts incoming email, and extracts data from purchase orders in most formats, including handwritten ones, then routes the structured result into business systems through an API layer that works with ERP systems and custom applications. VAO leans on a plug-and-play setup that it says often goes live within a week.

WizCommerce

WizCommerce is an AI platform for wholesalers, distributors, and B2B sellers that reaches across sales and operations. Its AI order-entry assistant, Ella, converts incoming purchase orders from many formats into ERP-ready data at high daily volume. Around it are WizOrder, a field-sales app; WizShop, a wholesale storefront with buyer-specific pricing; WizStudio, which generates catalog imagery; WizPay for B2B payments; and an AI quote assistant. WizCommerce offers more than 100 ERP integrations, serves sectors like home furnishing, gifts, food and beverage, furniture, and industrial goods, and raised an $8 million Series A led by Peak XV Partners in August 2025.

Y Meadows

Y Meadows turns inbound purchase orders into ERP-ready sales orders, reading email bodies, PDFs, spreadsheets, and attachments on a low-code business process automation platform. It targets operations with many unique rules, exceptions, and customer-specific procedures. Because workflows are configurable rather than fixed templates, you can model branching logic, validations, customer and catalog matching, quote-to-order conversions, and human review steps. Y Meadows is SOC 2 Type II certified, ISO 27001 certified, and HIPAA compliant, supports multilingual and multi-currency processing, and connects to any ERP (e.g. SAP, Oracle, NetSuite, Microsoft Dynamics 365, Business Central, Epicor, Eclipse, Prophet 21, Infor, Acumatica, QuickBooks Desktop, etc.), proprietary and legacy systems included. Implementation runs through a professional services team, and pricing is based on orders processed.

How do you cut 18 vendors down to a two-vendor shortlist?

Run a document test before you run a demo. The fastest way to sort this list is to make the vendors work on your mess rather than their sample set, and it takes about a week.

1. Pull 20 real purchase orders from the last quarter. Include the three that caused a credit memo, the handwritten one, and the customer whose part numbers never match yours.
2. Narrow the list to vendors that meet your specific needs. A foodservice wholesaler on QuickBooks Desktop and an SAP manufacturer do not have the same shortlist.
3. Send the same 20 documents to the ones that you choose and ask each to process them live on a call, without preparation.
4. Score the exceptions, not the successes. Every vendor will handle the clean PDF. Watch what the product does with the order it cannot resolve, and who ends up holding it.

That test also tells you which vendor's implementation team you are really buying, which is usually the thing that determines whether you go live.

Why do these projects stall after the contract is signed?

Data and ownership, not model quality. Gartner predicts that more than 40% of agentic AI projects will be canceled by the end of 2027, pointing to escalating costs, unclear business value, and inadequate risk controls rather than the technology itself.

Distribution Strategy Group's 2026 survey found the same split inside distribution. Among distributors reporting strong data quality, 81% were confident in the return on their AI investments. Among those with poor or inconsistent data, only 18% were. Your customer master and item master decide more of this outcome than the vendor you pick.

The gap also shows up at the top of the market. When DSG evaluated more than 300 North American distributors for its AI Top 25, only 26 met its standard for sustained production use. Among them, Wesco International processes about 40% of its three million annual invoices without human intervention. That is what production looks like, and it is rarer than the vendor pages suggest.

We have written about this pattern from the implementation side in “Why Order Automation Projects Fail” and “Why AI Order Entry Pilots Stall Before Production”. The recurring cause is the same: nobody named an owner, and nobody agreed in advance on what "working" meant. Before you sign, write down the success criteria for order entry automation you will be measured against.

Start with your own worst purchase order

Take the ugliest PO your team received last month and use it as the entrance exam. It sorts this list faster than any feature matrix, because the categories above only matter once you see which products handle your specific mess and which ones hand it back.

If you want the background reading first, AI vs OCR vs RPA for order entry covers why the older approaches break on messy documents, and how to implement AI order entry without disrupting your ERP covers the integration question.

To see how Y Meadows reads your purchase orders, book a walkthrough with our team.