AI chatbot for WooCommerce Checkout Field Editor: explain custom fields
SleekAI reads Checkout Field Editor's wc_fields_billing, wc_fields_shipping, and wc_fields_additional option arrays into the bot's system message, so shoppers can ask what each custom field is for. Bring your own OpenAI, Anthropic, Google, or OpenRouter key.
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A chatbot that explains your checkout fields
WooCommerce Checkout Field Editor stores the customized field set in three wp_options rows: wc_fields_billing, wc_fields_shipping, and wc_fields_additional. Each row is a serialized array of field definitions with a name, label, type, required flag, position, and class. SleekAI exposes those arrays as named variables on the bot's system message, so a shopper asking what the "VAT number" field is for gets the actual field's purpose, not a generic checkout FAQ.
That turns abandoned-on-checkout-because-of-a-confusing-field into a conversation. A shopper hits an unexpected "Tax ID" field and asks what it is, the bot reads the label and the field's description (often configured in the editor) and explains why the store collects it. A wholesale buyer asks why a billing field is required for their account type, the bot checks the required flag and the display conditions and explains the rule.
Display conditions scope the bot to the cart and checkout pages so the standard support bot stays on the rest of the site. Conversation logs capture each checkout-field ask with model name and token usage, which makes it easy to spot fields that confuse real customers (high ask rate on the same field name) and either rewrite the label or drop the field, instead of inventing an explainer page no one reads.
Workflow
How SleekAI plugs into Checkout Field Editor
Map the field arrays
Document the conditions
Scope to checkout
Watch the logs
Try it now
A typical Checkout Field Editor conversation
Comparison
Generic chatbot vs SleekAI for WooCommerce Checkout Field Editor
Generic chatbot
-
Cannot read
wc_fields_billingfrom options - Cannot tell required from optional per field
- Has no idea which fields are custom or stock
- Cannot explain conditional field logic
- No display conditions to fire on checkout only
SleekAI chatbot
-
Reads
wc_fields_billing/shipping/additional arrays - Knows label, type, required flag, and position
- Explains conditional logic when configured
- Display conditions fire on cart and checkout
- Logs every field-question ask with model and token usage
Features
What SleekAI gives you for WooCommerce Checkout Field Editor
Field-aware answers
The bot reads each custom field's label, type, and required flag from the wc_fields_* options. When a shopper asks what a field is for, the answer references the exact configuration the editor set, including type (text, select, checkbox).
Conditional logic explained
Many stores make fields required only for certain countries or product types. The bot reads the conditions, explains them in plain language, and tells the shopper what they need to change (country, billing type) to make the field optional.
Scoped to checkout
Display conditions fire the bot on /cart, /checkout, and /my-account/edit-address so the bot only appears where its knowledge matters. Other pages fall back to the standard support bot with its own scope.
Use cases
Where customized stores use SleekAI
EU stores collecting VAT
Stores asking for VAT or tax IDs explain when the field is required and when it can be left blank, so private buyers do not bounce off a confusing red asterisk at the wrong moment.
B2B and wholesale
Wholesale checkouts often add account number, PO number, or delivery instructions fields. The bot explains each one and why it is on the form, so first-time buyers complete the order.
Delivery special instructions
Stores adding a "Special delivery notes" field handle the question "do I have to fill this in" instantly instead of letting shoppers stare at it until they leave the page.
The bigger picture
Why an AI layer on checkout fields saves orders
Customized checkouts are useful and dangerous in the same gesture. They collect the data the store needs (VAT, account number, delivery notes), but every added field is another reason a first-time shopper might bounce. The classic pattern is a small red asterisk next to a field name the shopper has never seen, no explanation in sight, and a checkout that fails validation when they try to skip it.
The shopper either fills in a wrong value and the store deals with bad data, or they leave. WooCommerce Checkout Field Editor already structures the data. Every custom field has a label, a type, a required flag, and (often) a description set right in the editor.
A chatbot that reads the same option arrays explains each field in plain language the moment the shopper hovers and asks. The store does not have to maintain a separate FAQ page; the bot pulls from the same source of truth that drives the form itself. Generic chatbots cannot do this.
They have no idea what wc_fields_billing is. They will either tell the shopper to contact support (a real-time question becomes a 24-hour wait) or guess at what the field is for, which is worse than guessing at a tracking number because the wrong answer breaks the order. The variable mapping between the bot and the option arrays closes that gap.
It also lets the operator iterate on the form without breaking the bot: change a label in the editor, the next conversation reflects it. That makes the checkout a living document, not a forced ad-hoc PHP-and-CSS project every time a regulation changes.
Questions
Common questions about SleekAI for WooCommerce Checkout Field Editor
Yes. The plugin stores its field definitions in three wp_options rows: wc_fields_billing, wc_fields_shipping, and wc_fields_additional. Each is a serialized array of field definitions with name, label, type, required flag, position, and class. SleekAI exposes those as named variables on the bot's system message.
 Yes, when the conditions are stored in the field definition (some editors add condition arrays, others rely on hooks). The bot reads the conditions and explains in plain language when the field is required. If conditions live in PHP filters, the operator can add a short summary string to the system message.
 No. The bot reads field definitions (label, type, required), not field values from past orders. To answer a question about a specific submitted order, the operator wires a separate tool that verifies the order ID and billing email before exposing values, the same way other SleekAI integrations handle order context.
 The classic Checkout Field Editor mainly affects the shortcode-based checkout. WooCommerce now offers a separate Additional Checkout Fields API for the Block Checkout. SleekAI can read both data sources; if the store mixes them, the bot's instruction can clarify which checkout layout the customer is using before referencing fields.
 When the rule is embedded in the field's condition array, the bot reads the allowed countries and explains the rule. When the rule lives in custom PHP, the operator usually adds a short "required for EU shipping addresses" string to the system message so the bot quotes it accurately.
 Yes. The bot can guide the shopper through what the right value looks like ("a VAT ID starts with the two-letter country code followed by digits, for example DE123456789") because the field type and label tell it what the field expects. It will not silently auto-fill the cart, but it can prepare a one-click link if the operator enables the cart-update tool.
 Fields added via raw PHP do not live in wc_fields_billing, so the bot does not see them by default. The operator can either re-create them in the editor (so they land in the option array) or expose them manually as additional variables on the system message. The bot is honest about not knowing fields it cannot see.
 Every conversation logs to WordPress with the model name, token usage, and origin URL. Operators sample logs to find fields that generate the most questions and either rewrite the label, drop the field, or add a short description in the editor that the bot can quote verbatim next time.
 Pricing
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