Order Agent.
Reads email, SMS and call notes, resolves the customer and the items, and presents a clean sales order for approval. Contract pricing is applied before approval, and exceptions surface with context (dynamic ecommerce).
Short answer: AI order entry for food distributors reads the orders customers send by email, text message or phone, works out which customer is ordering and which items they mean, applies that customer's contract pricing, and hands your team a clean sales order to approve instead of a message to re-key. Foodline AI is an AI-native ERP for food distributors whose Order Agent turns orders from email, text messages and call notes into sales orders for approval, created directly in the ERP, next to a branded online store, so there is no separate ordering app, import or sync to maintain.
Most independent distributors take orders in more than one way. Some customers use an online store. Many still email a list, text shorthand like "6 romaine, 2 cs ribeye, same as last week," or call a rep who writes it down. Someone then types each of those into the ERP, usually late in the evening before the cutoff.
That work has three costs:
| Cost | What it looks like |
|---|---|
| Time | Order desk staff and reps re-key the same information that is already written down |
| Errors | The wrong item, the wrong pack size or the wrong price reaches the picker, and becomes a credit memo the next day |
| Missed cutoffs | Orders that arrive late in the evening wait until someone is free to enter them |
| Step | What good AI order entry does |
|---|---|
| Read every channel | Email, text messages and call notes, not only orders placed in the online store |
| Resolve the customer | Match the sender to the right account and ship-to, not just a name |
| Resolve the items | Turn "2 cs ribeye" into the right item and unit of measure, using the account's order guide |
| Apply the right price | Contract pricing, price levels and specials are applied before anyone approves the order |
| Check before it's a promise | Stock, credit, terms and cutoff are checked against the live record |
| Surface exceptions | Unknown items, out-of-stock lines and credit holds come back with context for a person to decide |
| Land in the ERP | The approved order is a normal sales order in the system that picks, ships and invoices it, not an export to import |
Order Agent.
Reads email, SMS and call notes, resolves the customer and the items, and presents a clean sales order for approval. Contract pricing is applied before approval, and exceptions surface with context (dynamic ecommerce).
A person approves.
Nothing becomes a customer commitment until someone on your team approves the order (autonomy).
No second system.
The order is created directly in the ERP, with no import, re-keying or sync, because the ordering layer and the ERP are the same product (ecommerce + ERP).
A store for customers who want one.
A branded online store shows each account its own order guide, contract prices, availability and delivery cutoffs, and portal orders become normal sales orders (dynamic ecommerce).
Checked against the live record.
Orders are checked against stock, credit and cutoff, and the storefront understands account terms and current exposure before an order becomes a promise (ecommerce + ERP).
The other side of the inbox.
A vendor price sheet routine watches the buying inbox, extracts the vendor's price list and shows a change diff against your current costs for a buyer to approve (autonomy).
Downstream on the same record.
The approved order flows to picking, catch weight, routes, the invoice and the general ledger without leaving the system (platform).
Ordering platforms such as Pepper and Choco also offer AI order entry. They sit on top of the ERP you already run and sync orders, prices and catalogs with it. That works when your ERP is staying. If the ERP is also the problem, a second platform adds a sync to maintain. Our sourced comparisons cover both: Pepper vs Choco vs Foodline AI, Choco alternative and Pepper alternative.
Software that reads the orders customers send by email, text message or phone, matches the customer and the items they mean, applies that customer's pricing and presents a sales order for a person to approve, instead of someone re-keying the message into the ERP.
Foodline AI's Order Agent reads email, text messages and call notes, resolves the customer and the items, applies contract pricing and presents a clean sales order for approval. The approved order is created directly in the ERP, with no import, re-keying or sync.
No. Customers can keep sending orders by email, text or phone, or order from the distributor's branded online store. Both end up as normal sales orders in the same system.
Not in Foodline AI. A person on the distributor's team approves every order before it becomes a commitment, and lines the agent can't resolve come back with context instead of being guessed.
Pepper and Choco are ordering platforms with AI order entry that sit on top of the ERP you already run and sync with it. Foodline AI is the ERP itself, with the online store and Order Agent built in, so there is no second platform or sync to maintain.
Thirty minutes. We load a slice of your catalogue and show you the routines firing against your real order history, not a canned demo.
Book a walkthrough