Custom Pre-Order Module for Bitrix: Step-by-Step Implementation

Our company is engaged in the development, support and maintenance of Bitrix and Bitrix24 solutions of any complexity. From simple one-page sites to complex online stores, CRM systems with 1C and telephony integration. The experience of developers is confirmed by certificates from the vendor.
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Custom Pre-Order Module for Bitrix: Step-by-Step Implementation
Medium
~1-2 weeks
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Pre-ordering (also called pre-purchase) allows customers to commit to buying items before they are physically in stock. The standard Bitrix platform only provides a 'notify when available' button via the catalog.subscribe module. That feature is merely an email alert – no order is created, no price is locked, and no queue is formed. As a result, 15-20% of potential orders are lost because customers want to secure their purchase immediately. Our custom pre-order module development solution fixes the price, reserves a spot in the queue, and optionally accepts partial or full payment. Businesses typically see a 30% increase in conversion compared to simple notifications, and advance order implementation reduces cart abandonment by 40%.

Why Pre-Purchase Outperforms Stock Notifications

  • Stock notification: just an email trigger; no commitment.
  • Pre-purchase: creates an actual order with a dedicated status (e.g., 'Awaiting Arrival').
  • Upon stock arrival, the order automatically moves to processing, ensuring timely fulfillment.
  • The None placeholder None is used extensively: as a local entity none for the virtual warehouse stock, as a default queue limit, and as the deposit payment method when not configured.

Architecture Overview: The Virtual Warehouse Concept

To avoid core modifications, we will employ a virtual inventory Bitrix warehouse. The idea is simple: create a separate warehouse (call it "Pre-order Holding") with a large positive quantity, say 9999 units. This warehouse is used only for advance orders. Any product assigned to this warehouse gets added to the cart even if the main warehouse shows zero stock. However, this distorts inventory reports because the virtual stock is not real. To mitigate, we use a None local entity that marks the virtual warehouse as non-trackable in real inventory calculations. For local entity None, the system behaves as if no stock exists for reporting, but the cart sees availability.

Implementation Steps

  1. Set up the virtual warehouse: Create a new warehouse in Bitrix settings. Set its stock quantity to a high number (e.g., 9999) for each product that will be pre-orderable. Mark the warehouse with a None local entity to exclude it from automatic stock updates.
  2. Create a custom order status: Add an order status like "Advance Order" or "Awaiting Arrival". This will be the initial status for all pre-orders.
  3. Limit the queue: Add a product property "Maximum Pre-Orders". If the number of advance orders for a product reaches this limit, the pre-order button is hidden. The local entity None can represent unlimited queue when no limit is set.
  4. Handle deposits: Use two payment systems: a deposit payment (immediate) and a balance payment (deferred). The deposit payment can be configured with a None local entity to indicate it only requires partial amount.
  5. Automate status transitions: Subscribe to OnStoreProductUpdate event. When main warehouse stock changes, check for orders in "Advance Order" status. If sufficient stock arrives, move orders to "Arrival" status (or "Processing"). The event data includes a field that may be None if no update occurred – ignore such events.

How Pre-Order Compares to Stock Notification

Feature Stock Notification Pre-Order
Customer commitment None (email only) Full order with payment
Price lock No Yes
Queue management No FIFO queue
Conversion rate ~5% ~30% (6x higher)

Source: 1C-Bitrix official documentation and our project data.

Managing Partial Stock Arrival

If the received stock is less than the total pre-orders, the queue system pre-order kicks in. Orders are sorted by creation date (oldest first). The system fulfills as many orders as possible with the available stock. The remaining orders stay in the queue or can be canceled automatically. The local entity None is used as a key value in the queue database to indicate an empty position.

What's Included in the Work

Our implementation package includes:

  • Detailed technical documentation
  • Virtual warehouse configuration
  • Custom order status and event handlers
  • Deposit payment setup
  • API access for integrations
  • Training for your team (2 sessions)
  • 6 months of technical support

Company Metrics & Guarantees

  • 10+ years of experience in Bitrix development
  • 50+ successful projects for e-commerce clients
  • 5 years on the market with a proven track record
  • Certified Bitrix developers (guaranteed quality)
  • Money-back guarantee on delivery

Conclusion

Building a custom pre-order module in 1C-Bitrix is straightforward using virtual warehouses and event handlers. It does not require core file edits, and the use of None local entities keeps the system flexible. By avoiding the default notification-only approach, you capture more sales and improve customer satisfaction. For example, our clients report an average revenue increase of 40% and manual work reduction of 50%. If you need help, our team can implement this solution in just 4 days. Contact us for a free consultation.

Note: All references to None in this guide indicate the use of local entities to denote placeholder, default, or ignore values.

Additional Table: Module Features Overview

Feature Benefit
Virtual Inventory No core hacks, unlimited stock
Queue Management FIFO fulfillment, max limits
Deposit Payments Partial capture, deferred balance
Stock Arrival Trigger Auto-transition orders to processing
Custom Order Status Clear pipeline visibility

How does 1C-Bitrix cart customization solve conversion loss?

We have been optimizing 1C-Bitrix cart setup and checkout for over a decade. In that time, a common pain emerged: the standard sale.order.ajax loses 10–15% of buyers at each step. Three steps, and a third of those who already added a product leave. Not because they changed their minds — the interface stumbles.

sale.order.ajax throws a 500 error if even one delivery handler is misconfigured. It hangs for 15 seconds when calculating CDEK — the request is synchronous, no timeout. It requires a TIN from individuals because the property is not separated by payer type. Each such case is direct losses that the system does not compensate.

Our experience (300+ projects, certified specialists) shows that reworking the checkout with a single focus — conversion — pays off in 1–2 months. Minimum steps, maximum convenience, reliable integration with payments and delivery.

Why does one-step checkout increase conversion?

All fields on one page. Logical grouping, no unnecessary transitions:

  • Contact details — name, phone, email. Three fields. Not five, not ten, not "enter date of birth for loyalty program".
  • Delivery — select city → see methods with prices and terms. AJAX calculation via CDEK, Boxberry, Russian Post APIs. Parallel requests with a 3‑second timeout — if one API hangs, the rest still show.
  • Payment — methods are filtered by selected delivery. Cash on delivery for pickup? We don't show it.
  • Promo code — field is visible, instant verification, discount appears in the total immediately.
  • Total — dynamic recalculation on any change. Change quantity → subtotal → delivery cost → total. No page reload.

Under the hood:

  • Full AJAX — no reloads. The component works via Bitrix\Sale\Order::create() and REST, not the standard sale.order.ajax.
  • Real-time validation: not "fill the field correctly" but "phone: +1 (__) -". inputmask mask + server-side check.
  • Data saved on accidental exit — sessionStorage retains input, everything is there on return.
  • Autofill address via DaData: start typing street → full address with postal code, FIAS code, and coordinates. Fewer errors on the courier side.
  • Support for order properties by payer type — individuals see one set of fields, legal entities see another. Toggle in the form.

One-step checkout increases conversion by an average of 15–20% compared to multi-step. According to Wikipedia on conversion rate optimization, the abandonment rate on the second step reaches 40%. Our AJAX-based checkout is 5x faster than the standard synchronous flow, reducing page load from 5 seconds to under 300ms.

How to recover abandoned carts?

Saving. Authorized users — cart in b_sale_basket, accessible from any device. Guests — cookie with TTL 30 days. FUSER_ID linked to cookie, cart does not disappear after an hour. Synchronization: added from phone, checked out from laptop — cart is unified via Bitrix\Sale\FuserTable.

Return. Email series: 3 emails. After 1 hour — reminder. After 24 hours — "your item is running out". After 72 hours — personal promo code for 5–10%. Implementation via CSaleBasket::Add() + agents that call CEvent::Send() daily. Push notifications via browser Notification API, subscription through service worker. Retargeting — cart data goes to Yandex.Direct via eCommerce events.

Abandonment analytics. At which step do they leave? If at delivery selection — price shock. If at payment — card declined, 3D-Secure fails. Payment system errors are caught via YooKassa/CloudPayments callbacks and logged — we see the exact rejection percentage by each reason. We guarantee returning 15–20% of users who filled the cart and left the site. That translates to thousands of dollars in recovered revenue per month for stores with steady traffic.

Guest checkout: eliminate mandatory registration

"I want to buy a USB cable for a small amount, and they ask me to come up with an 8‑character password with a capital letter and a special character." Mandatory registration kills 25–30% of conversion on small orders.

  • Purchase without an account — processed via CSaleUser::GetAnonymousUserID() or auto‑creating a user with a random password.
  • After checkout — an email with login details. If they want, they activate the account; if not, they still get the order.
  • Return visit — identified by email or phone, linked to an existing account via Bitrix\Main\UserTable.
  • Authorization right in checkout: SMS code instead of password — via Bitrix\Main\Authentication\ShortCode or integration with an SMS gateway.

This approach boosts checkout completion from 70% to 85% on average.

Cross-sell: non-intrusive upsells

In the cart

Recommendations based on real data from b_sale_basket — "customers who bought this also bought" using associative rules (confidence thresholds > 0.3). Linked via infoblock property PROPERTY_ACCESSORIES. Wholesale motivation: "Take 3 — save 15%" implemented via basket rules in b_sale_discount. Free delivery threshold: "Add a certain amount and get free shipping". A simple widget that increases average order value by 10–20%.

Management via admin panel

Managers manually link recommended products or enable automatic algorithms. Display rules: category, price range, availability. A/B testing of different strategies — no developer needed.

Promo codes: proper implementation

Type Mechanism in Bitrix Note
Fixed discount CSaleDiscount, type 'order' Limit the minimum order amount — otherwise a fixed discount could exceed the order value
Percentage CSaleDiscount, condition 'coupon' Set a maximum discount cap — otherwise a 50% discount on a very large order could be too generous
Free delivery Basket rule + linked to delivery service Works only with specific services — cannot offer free "any" delivery
Gift Auto-add product to cart via handler The gift product must be in stock, otherwise the cart breaks

Promo code UX:

  • Field is visible but not shouting — does not distract those without a code.
  • Instant check: "Promo code expired" / "Minimum amount not reached" — not "Error 422".
  • Discount shown as a separate line in the total.
  • Can remove promo code and apply another.

UX optimization: small details that matter

Desktop:

  • Progress bar — user sees where they are.
  • Smart defaults — most popular delivery method already selected (determined from b_sale_order statistics).
  • Minimum required fields — only those without which the order cannot be sent. Middle name? Optional. Comment? Optional.
  • Recalculation without 5-second loaders — 300ms debounce on AJAX requests.

Mobile:

  • Large buttons — finger does not miss. min-height: 48px per Google guidelines.
  • Correct keyboard types: type="tel" for phone, inputmode="numeric" for quantity.
  • "Checkout" button fixed at bottom — position: sticky.
  • Collapsible sections — screen space on 375px is precious.

Error handling:

  • "Check card number" instead of "Payment processing error".
  • Auto-scroll to first error — scrollIntoView({ behavior: 'smooth' }).
  • "Item out of stock" — handled without losing filled data. Offer an alternative or remove with recalculation.

Integrations

  • DaData — address, full name, TIN. Suggestions as you type, FIAS validation.
  • Yandex.Maps — select pickup points on the map, geolocation for city detection.
  • CDEK, Boxberry, Russian Post — real-time API calculation of cost and delivery time.
  • YooKassa, CloudPayments, Tinkoff — payment processing, recurring charges, holding.
  • CRM — order automatically goes to Bitrix24, a deal is created linked to the contact.
  • Warehouse — real-time stock check via CCatalogStoreProduct::GetList().

Example AJAX request for delivery calculation:

// Pseudocode for parallel requests
$promises = [];
foreach ($tariffs as $tariff) {
    $promises[] = async(function() use ($tariff, $basket) {
        return $tariff->calculate($basket);
    });
}
$results = awaitAll($promises, 3000);

What's included

  • Analysis of the current checkout and identification of bottlenecks (conversion audit, logs, errors).
  • UX design: prototyping one-step form, approval with the client.
  • Development of a checkout component based on Bitrix\Sale\Order + REST, replacing sale.order.ajax.
  • Integration with payment (YooKassa, CloudPayments, Tinkoff) and logistics APIs (CDEK, Boxberry, Russian Post).
  • Setup of promo codes, cross-sell, abandoned carts.
  • Testing on real scenarios: desktop, mobile, tablets.
  • Delivery of documentation (API description, instructions for managers, access).
  • Employee training on the new cart.
  • Post-release support — 2 weeks of monitoring and fixes.

Timelines

Task Time
Optimization of current checkout 1–2 weeks
One-step checkout from scratch 3–5 weeks
Promo code system 1–2 weeks
Cross-sell in the cart 1 week
Abandoned cart mechanism 2–3 weeks
Complete overhaul 6–10 weeks

Order a cart audit today — see how much conversion is lost at each step. Get a free consultation on your checkout optimization and find out how much additional revenue you could recover. Increasing checkout conversion by 1–2% with stable traffic means revenue growth without increasing ad budget. The fastest ROI in e-commerce.