AI Fraud & Risk Shield for Odoo Checkout

Name: AI Fraud & Risk Shield for Odoo Checkout
Brand: ECOSIRE
SKU: odoo-ai-fraud-risk-shield

प्रमुख सुविधाएँ

Per-order AI risk score (0–100) computed on sale.order via an @api.depends compute field, evaluated before payment capture or delivery confirmation

Configurable block / review / allow thresholds stored in a dedicated fraud.risk.rule model — no code changes to re-tune risk appetite

Velocity signals: count of orders per email, IP, device fingerprint, or card BIN within a rolling time window to catch card-testing bursts

Geo-mismatch detection comparing billing country, shipping country, and IP geolocation, with configurable distance and country-pair penalties

BIN / issuer-country checks that flag high-risk card ranges and prepaid or mismatched-country cards

Email-age and reputation signal that penalises freshly created or disposable-domain addresses

Optional AI/LLM contextual layer that analyses address plausibility, name coherence, and order patterns and returns a human-readable rationale

Auto-hold workflow via Odoo automated/server actions: risky orders move to an on-hold state and a review activity is raised for the risk team

Manual review queue as an OWL/XML dashboard with approve, reject, and escalate buttons, filtered by score, signal, and payment method

Allow / deny lists and a fraud.blocklist model (email, domain, IP, BIN, phone) that hard-override the AI score

Full decision audit trail written to the order chatter — score, triggered signals, model version, and reviewer action — as dispute evidence

QWeb risk report per order (and per period) summarising the score breakdown for chargeback representment and internal reporting

Security via ir.model.access.csv plus record rules so only the Fraud/Risk role can see scores and the review queue

XML-RPC / JSON-RPC access to risk scores and decisions so external systems and dashboards can read outcomes

Multi-channel coverage: works across website_sale eCommerce checkout, POS, and back-office Sales orders

Works on Odoo Community and Enterprise, versions 17, 18, and 19, with graceful fallback to rules-only mode if the AI provider is unreachable

ऑर्डर पर निर्मित, पूरी तरह आपके लिए तैयार

स्वयं सेटअप की ज़रूरत नहीं — ECOSIRE द्वारा निर्मित, इंस्टॉल और समर्थित एक कार्यशील ऐप।

आप ऑर्डर करते हैं

एक बार के निर्माण मूल्य से शुरू करें। किकऑफ़ पर हम आपके साथ मिलकर दायरा तय करते हैं।

हम बनाते और इंस्टॉल करते हैं

ECOSIRE इसे आपके Odoo पर बनाता, कॉन्फ़िगर और इंस्टॉल करता है।

लाइव + समर्थन

आप लगभग 2–4 सप्ताह में लाइव हो जाते हैं, लॉन्च के बाद समर्थन अवधि के साथ।

इस उत्पाद के बारे में

Chargebacks and card-testing fraud drain margin and get you flagged by payment processors — and Odoo core has no native order-risk scoring. AI Fraud & Risk Shield is a build-to-order Odoo module that ECOSIRE designs, builds, installs, and supports specifically for your storefront. It does not exist on apps.odoo.com and is not an instant download; we engineer it to fit your payment providers, catalogue, and risk tolerance, then deploy it into your database within a typical 2–4 week lead time.

The module intercepts every incoming order — from Odoo eCommerce checkout, POS, or the Sales app — and computes a transparent risk score before the payment is captured or the delivery is confirmed. Signals include velocity (orders per email, IP, card, or device in a time window), geo mismatch between billing, shipping, and IP geolocation, BIN/issuer country checks, and email-age reputation. On top of those deterministic rules, an optional AI/LLM layer performs contextual analysis — spotting nonsensical or mismatched addresses, gibberish names, and behavioural patterns that fixed rules miss — and returns a plain-language rationale your reviewers can actually read.

Technically it is a clean Odoo addon: a proper __manifest__.py declaring dependencies (sale, payment, optionally website_sale and point_of_sale); new models extending sale.order with a computed risk_score field (@api.depends on the order lines, partner, and payment transaction) plus a dedicated fraud.risk.rule model for your thresholds and a fraud.blocklist model; automated actions / server actions that set orders to an on-hold state and raise an activity for the review team; access controlled via ir.model.access.csv and record rules so only the risk role sees the queue; OWL/XML views for the review dashboard; and a QWeb report for a per-order risk audit trail. External fraud/AI providers are called through an outbound service with the score written back over the ORM (and readable via XML-RPC/JSON-RPC for your other systems). It runs on Odoo Community and Enterprise, versions 17, 18, and 19.

You keep full control: block, review, or allow thresholds are yours to tune, allow/deny lists override the AI, and every decision is logged in the chatter for dispute evidence. ECOSIRE hands over the complete source, configures it against your live rules, trains your team, and stands behind it with a defined support-and-updates window.

What you get

Complete, commented Odoo module source (models, views, security, data, QWeb report) delivered as a versioned addon you own outright

Installation and deployment into your Odoo 17, 18, or 19 database (staging first, then production), including manifest dependency wiring

Configuration of your block/review/allow thresholds, velocity windows, geo rules, BIN lists, and allow/deny lists against your real risk policy

Integration with your chosen AI/LLM and any external fraud/BIN provider, including secure API-key handling via system parameters

Technical documentation (data model, signal logic, tuning guide) plus an end-user runbook for operating the review queue

Live training session for your risk/operations team on triaging the queue, adjusting rules, and reading the audit trail

Post-launch support-and-updates window covering bug fixes, threshold tuning, and Odoo minor-version compatibility (scope defined in the SOW)

Source-controlled handover (Git repository or archive) so your team can maintain, extend, or migrate the module independently

Who this is for

Online merchant hit by chargebacks

Runs an Odoo eCommerce store and is losing money to fraudulent orders and disputes. Needs suspicious payments held automatically before fulfilment, without blocking genuine customers or slowing checkout.

Head of finance / risk operations

Owns the P&L impact of fraud and processor relationships. Wants a defensible, auditable scoring system with clear thresholds, a review queue, and per-order evidence for representment — not a black box.

Odoo administrator / IT lead

Responsible for the Odoo instance and its integrations. Wants a clean, upgrade-safe addon with proper security rules and API access rather than brittle in-house scripts or an opaque third-party service.

How AI Fraud & Risk Shield for Odoo Checkout Compares

Criterion	ECOSIRE	Custom Build	Competitor
AI/LLM contextual analysis of orders	Optional AI layer with human-readable rationale, tunable per store	Rare — most DIY builds are fixed rules only	Usually rules-based; AI is uncommon or add-on priced
Per-order risk score before payment/fulfilment	Computed on sale.order via @api.depends, evaluated pre-capture	Possible but must be engineered from scratch	Sometimes, quality varies by vendor
Velocity, geo-mismatch, BIN & email-age signals	All included and individually configurable	Each signal is separate dev effort	Partial — depends on the specific module
Auto-hold + dedicated manual review queue	Automated actions + OWL review dashboard with approve/reject	Must build the workflow and UI yourself	Sometimes; UI and workflow vary
Fit to your PSPs, channels & risk policy	Built and tuned to your exact setup (build-to-order)	Fully custom, but you carry the full build cost/risk	Off-the-shelf — you adapt to its assumptions
Dispute-ready audit trail & QWeb report	Full chatter log + per-order QWeb risk report	Extra work, often skipped	Varies; often limited
Support, tuning & version updates	Defined support window; tuning + Odoo 17/18/19 upkeep	Your team owns all maintenance	Vendor support quality varies; may lag on versions
Ownership of source code	Full source handed over — you own and can extend it	You own it (you built it)	Typically licensed, source may be obfuscated

Frequently Asked Questions about AI Fraud & Risk Shield for Odoo Checkout

How long until it's live? Is this an instant download?

No — this is a build-to-order module, not an apps.odoo.com download. ECOSIRE designs, builds, and installs it for your specific store. Typical lead time is 2–4 weeks from requirements sign-off, depending on how many payment providers, channels (eCommerce/POS/Sales), and custom rules are in scope. You get a schedule with milestones up front, and we deploy to a staging database for your sign-off before touching production.

What support and updates are included after delivery?

Every engagement includes a defined post-launch support-and-updates window (scope set in the SOW). It covers bug fixes, threshold and rule tuning as you learn from real orders, and compatibility maintenance across Odoo minor versions. Because you receive the full source, your own team can also extend or maintain it; we can continue on a support retainer beyond the initial window if you prefer.

Which Odoo versions and editions does it support?

Odoo 17, 18, and 19, on both Community and Enterprise. The module extends standard models like sale.order and payment.transaction and ships as a normal addon with a proper __manifest__.py, so it installs cleanly and upgrades with your instance rather than patching core.

Does the AI ever auto-cancel a legitimate order?

No. By default the AI only scores and, above your review threshold, holds the order and raises a review activity — a human approves or rejects it. Only orders above your hard block threshold or matching a deny-list entry are auto-blocked, and both thresholds are yours to configure. Allow-lists always override the AI, and every decision is logged in the chatter so nothing is a black box.

Do I have to send order or card data to an external AI service?

You control exactly what is shared. The deterministic signals (velocity, geo, BIN range, email age) run inside Odoo. The AI/LLM layer is optional and is sent only the minimal, configurable fields needed for contextual analysis — never full card numbers, which Odoo/your PSP tokenise. If the AI provider is unreachable, the module falls back to rules-only scoring so checkout is never blocked by an outage.

Can other systems read the risk decisions?

Yes. Risk scores and decisions are stored on the order and exposed over Odoo's XML-RPC / JSON-RPC API, so your BI dashboards, warehouse, or anti-fraud tooling can read outcomes. Access is governed by ir.model.access.csv and record rules, so only the risk role — or an authenticated integration user — can see the scoring data.

How is this different from writing our own rules in Odoo?

You could hand-build a few automated actions, but you'd get brittle, hard-to-audit logic with no AI layer, no consolidated review queue, no BIN/geo/email signals, and no dispute-ready audit report. This module packages all of that as a maintainable, upgrade-safe addon with proper security — and ECOSIRE tunes and supports it — so your team operates fraud policy instead of maintaining scripts.