3.0.52 インストールしても安全
HOW IT WORKS
Download the app, establish a business account, and invite your team members to join you on TimberEye.
- Inbound Loads: Scale Logs In
- Rows: Assign Logs To Rows
- Outbound Loads: Scan Logs Out
- Bookings: Generate Packing Lists With Perfect Log-Level Data
INBOUND LOADS
Attach TimberEye QR Codes to logs upon their arrival on inbound trucks, then use the TimberEye app to scan them. TimberEye utilizes computer vision and LiDAR to scale each log, assign them to specific rows, record load weights, and track the relevant partners associated with each log (e.g., Forester, Forest, Logging, and Trucking).
ROWS
Categorize logs into rows based on Species, Length, and Grade. Create new rows and allocate logs to rows during inbound load scanning. Mark inspected rows as ready for outbound loading. Assign row logs to bookings upon load closure to ensure no logs are missed.
OUTBOUND LOADS
TimberEye can recognize multiple QR Codes simultaneously, allowing you to assign multiple logs to an outbound load with a single scan. Outbound Loads manage shipping details, buyer information, and weights effectively. TimberEye is compatible with both break bulk and container-based outbound loads.
DOCUMENT GENERATION
TimberEye produces detailed itemized packing lists containing a wealth of data on every log. It also supplies images of each individual log alongside its measurements for buyers' examination and auditing.
TimberEye collaborates with large-scale enterprises worldwide to offer a swifter and more dependable solution compared to traditional methods of log scaling and inventory management. We provide precise log-level data effortlessly. For further information, download the app or reach out to [email protected].
Happy Log Scaling!
The TimberEye Team
概要
TimberEye - Scale Logs は、 TimberEye, Inc.によって開発されたカテゴリ ビジネス の フリーウェア ソフトウェアです。
TimberEye - Scale Logs の最新バージョン 3.0.52 2024/05/16 にリリースです。 それは最初 2024/05/16 のデータベースに追加されました。
TimberEye - Scale Logs が次のオペレーティング システムで実行されます: iOS。
ユーザー TimberEye - Scale Logs の 5 5 つの星からの評価を与えた。
関連
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