A local-first Python tool that solves artificial stockouts. When customers start checkout or place unpaid bank-transfer orders, inventory is often locked for days. This engine scans reservation timestamps, identifies orders exceeding your expiry threshold (e.g. 30 minutes for cart locks or 24 hours for unpaid wire orders), and outputs a release manifest to restock items for paying buyers.
active_reservations.csv (orders with reservation timestamp, status, and SKU quantities).
Local Python script checks reservation age against timeout rules and isolates expired reservations.
released_inventory_manifest.csv (items to return to stock) and active_reservations_retained.csv.
Setup scope covers installation on customer-controlled infrastructure, configuration of authorised integrations, functional testing and handover.
Hosting, third-party charges and ongoing support are excluded unless separately agreed. Free workflows must never run on Sanocea-hosted infrastructure.
Unpaid pending orders or abandoned checkout sessions hold stock hostage. High-demand items appear "Out of Stock" to eager paying shoppers while reserved items sit in limbo.
Artificial stockouts directly suppress revenue during peak sales campaigns when stock is locked by abandoned checkouts.
Reads your active checkout reservations and unpaid orders, calculates elapsed time, identifies records exceeding your timeout policy, and emits a clean release manifest.
Locked stock is promptly returned to your storefront, enabling active buyers to complete purchases without manual warehouse audits.
Shows how an expired unpaid order holding the last available pieces is flagged and returned to sellable stock.
order_id,sku,qty,reserved_at,status
ORD-109,SKU-WATCH-BLK,1,2026-10-26T08:00:00Z,pending_payment
ORD-110,SKU-WATCH-BLK,1,2026-10-26T17:45:00Z,pending_paymentorder_id,sku,released_qty,reservation_age_hours,status
ORD-109,SKU-WATCH-BLK,1,10.0,RELEASED_EXPIRED_TIMEOUTORD-109 released to restock the watch for live shoppers; ORD-110 remains safely reserved.
Technical Setup Guidance:
Every deliverable is clean, self-contained, and ready for immediate deployment. You receive the complete files, configuration templates, setup guides, and automated tests.
| File Name | Deliverable Description |
|---|---|
reservation_cleaner.py | Core stale reservation release and inventory restoration engine |
run.sh | Execution wrapper script |
requirements.txt | Test execution requirements (standard library only for runtime) |
README.md | Operational usage guide & schema specifications |
SETUP.md | Step‑by‑step local setup instructions & cron scheduling |
COSTS.md | Zero recurring cost declaration |
LICENSING.md | Sanocea Commercial License |
tests/test_reservation_cleaner.py | Pytest suite covering TTL logic, atomicity, idempotency, and CSV reconciliation |
data/reservations_sample.csv | Sample checkout reservation holds dataset |
data/inventory_sample.csv | Sample inventory stock dataset |
For technical teams or developers assisting your business, below is the visual execution architecture and automated verification breakdown:
The engine queries unreleased reservation holds in SQLite, evaluates TTL thresholds and explicit expires_at timestamps, executes atomic BEGIN IMMEDIATE transactions to mark holds as RELEASED, and credits available inventory. Includes offline CSV snapshot reconciliation mode.
Updates reservation records to RELEASED and restores available inventory concurrently inside a single transaction
Identifies abandoned checkouts based on explicit expires_at timestamps or configurable creation-time TTL windows
Processes static exported CSV tables without requiring an active production database connection
We believe in complete transparency. Review the documented technical boundaries and external service fee breakdown below prior to obtaining the package:
| Component | Estimated Cost | Details & Free Tier Allowances |
|---|---|---|
| Stale Inventory Reservation Release Engine | ₹0 (Free to self-host) | Download full source code and self-host |
| Optional Assisted Setup | ₹500 one-time | Assisted installation, environment setup, and handover |
| Hosting & Third-Party Fees | ₹0 recurring | Standard Python local execution, no third-party APIs needed |
Receive the complete distributable archive containing reservation_cleaner.py, step-by-step setup guides, mock fixtures, and automated test suites.
Setup scope covers installation on customer-controlled infrastructure, configuration of authorised integrations, functional testing and handover.
Hosting, third-party charges and ongoing support are excluded unless separately agreed. Free workflows must never run on Sanocea-hosted infrastructure.
When a shopper adds an item to their cart and initiates checkout, commerce systems place a temporary inventory lock (reservation) to prevent overselling. If the buyer abandons the cart, closes their tab, or the payment gateway times out without sending a failure callback, the stock remains locked as RESERVED, preventing genuine buyers from purchasing.
No. The engine operates on local SQLite databases by default and provides a zero-setup offline CSV mode. For merchants using PostgreSQL or MySQL, the SQL transaction queries and Docker guidance allow seamless integration with zero recurring SaaS costs.
Releases execute inside an atomic BEGIN IMMEDIATE transaction that filters exclusively for unreleased holds (status IN ('RESERVED', 'PENDING_PAYMENT')). Once processed, the reservation is marked RELEASED with a timestamp, ensuring repeated runs are fully idempotent.
Yes. The tool runs in dry-run mode by default, analyzing and reporting all stale reservations and potential inventory restorations in a clean terminal scorecard without writing any changes to the database.
How abandoned checkouts hold inventory hostage, why ghost reservations trigger false stockouts, and how automated release engines restore available stock.
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