A custom-built biometric clock-in system for Shopify retail and warehouse teams. Face recognition and fingerprint/NFC punches with anti-spoofing, photo-on-punch audit trails, and clean payroll exports. One-time license from $249.00 USD for Shopify (build-to-order) — includes 12 months of updates and support.

A custom-built biometric clock-in system for Shopify retail and warehouse teams. Face recognition and fingerprint/NFC punches with anti-spoofing, photo-on-punch audit trails, and clean payroll exports.
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Buddy-punching and time-theft quietly drain payroll in every operation that still trusts a PIN pad or a shared tablet. Biometric & Face-ID Attendance removes the loophole: staff clock in with their own face or fingerprint, so the punch can only belong to the person standing at the device.
Face-recognition clock-in with liveness and anti-spoofing checks to block photos and video replay
Fingerprint, NFC and RFID punch options for warehouse and gloved-hand environments
Buddy-punching and time-theft prevention — every punch is biometrically tied to one person
Photo captured on every punch for a tamper-evident, timestamped audit trail
Tardiness, early-leave, missed-punch and overtime exception reports
One-click payroll and timesheet exports (CSV/XLSX) formatted for your provider
This is a build-to-order app, not an instant App Store install. ECOSIRE designs, builds, installs and supports it for your store. We scope your locations, devices and payroll format, then deliver a working system wired to your Shopify Admin.
How it fits Shopify. The app authenticates through Shopify OAuth and reads your team via the Admin GraphQL API, mapping each biometric profile to a Shopify staff account and a store location (so a punch is always tied to the right site in your multi-location setup). Clock events are stored against metafields and an ECOSIRE-hosted attendance ledger, and webhooks (app/uninstalled, staff and location changes) keep the roster in sync as people join, move or leave.
What you get. Face-recognition clock-in with liveness/anti-spoofing checks; fingerprint, NFC and RFID fallback for gloved or dusty warehouse hands; a photo captured on every punch for a tamper-evident audit trail; automatic tardiness, missed-punch and exception reports; and one-click payroll and timesheet exports (CSV/XLSX) formatted for your provider.
Honest scope. Biometric matching runs on the capture device or a private ECOSIRE-hosted service — Shopify does not process face or fingerprint data. We help you configure consent capture and retention so the deployment respects local biometric-privacy law. Hardware (kiosk tablet, fingerprint or NFC reader) is sourced separately; we advise on a compatible list before the build.
Runs several Shopify-powered stores and needs each clock-in attributed to the correct location, with exception reports that surface tardiness and missed punches before payroll closes.
Manages shift workers in a dusty, gloved environment where fingerprint alone is unreliable — wants NFC/RFID and face options plus photo-on-punch proof to end buddy-punching.
Spends hours reconciling timesheets and chasing disputed hours; wants biometric-verified punches that export cleanly into the existing payroll system without manual re-keying.
ecosire.com でライセンスを購入し、アカウント ダッシュボードから Biometric & Face-ID Attendance モジュールの ZIP をダウンロードします。
ZIP をサーバー上の Odoo カスタム アドオン フォルダーに抽出します (または、[アプリ] > [Odoo.sh / runbot のファイルからインストール] を介してアップロードします)。
開発者モードをアクティブにし、アプリを開き、「アプリリストの更新」をクリックして、「Biometric & Face-ID Attendance」を検索し、「インストール」を押します。
新しいメニューを開き、ECOSIRE ライセンス キーを貼り付け、外部認証情報 (Shopify、Amazon、Stripe など) を接続して保存します。
組み込みの接続テストを実行し、最初の 10 レコードを同期し、定期的な cron をスケジュールします。何か問題が発生した場合はサポートにお問い合わせください。
| 基準 | エコシエール | カスタムビルド | 競合他社 | オドゥー ネイティブ |
|---|---|---|---|---|
| Buddy-punching prevention via biometric match | ||||
| Face recognition with anti-spoofing / liveness | ||||
| Photo-on-punch audit trail | ||||
| Per-location attribution via Admin GraphQL API | ||||
| Payroll/timesheet export matched to your provider | ||||
| Instant self-serve install (no build wait) | ||||
| Built, installed and supported for you | ||||
| Biometric-privacy consent & retention configuration |
This is a build-to-order app, not an instant download. After purchase we book a short scoping call to confirm your locations, devices and payroll format. A standard deployment is typically delivered and installed within 2–4 weeks; multi-location rollouts or custom payroll formats may take longer, and we give you a firm timeline before the build starts.
No. Shopify never processes biometric data. Face and fingerprint matching runs on the capture device or a private ECOSIRE-hosted service. Shopify only holds the link between a staff account and an attendance record via metafields. We help you configure consent capture and retention windows so the deployment respects local biometric-privacy law.
Because we build and host the app, ECOSIRE provides ongoing support, bug fixes and compatibility updates as Shopify's Admin API and your payroll format evolve. We agree a support arrangement during onboarding — covering enrollment of new staff, device issues, and export adjustments — so you are never left maintaining the integration alone.
Yes — a camera-equipped kiosk tablet for face recognition, and optionally a fingerprint, NFC or RFID reader for warehouse environments. Hardware is sourced separately from the app build. We provide a compatible-device list and advise on the right mix for each location before we start.
Yes. The app reads your locations from Shopify via the Admin GraphQL API and attributes every punch to the correct site. Managers can be scoped to their own locations, and exception and payroll exports can be filtered or split per location.
Each punch is biometrically matched to one enrolled person, with liveness/anti-spoofing checks that reject a held-up photo or video. A photo is also captured on every punch, giving you a timestamped, tamper-evident audit trail you can review whenever an hour is disputed.
A custom-built biometric clock-in system for Shopify retail and warehouse teams. Face recognition and fingerprint/NFC punches with anti-spoofing, photo-on-punch audit trails, and clean payroll exports.