Data extraction from key documents
Your challenges:
Our solution:
Key figures:
- Error prone and slow manual data extraction from shipping documents (e.g. invoices, bills of landing, etc.)
- Only a subset of the data (and documents) are processed
- Data quality varies due to manual error-prone process
Our solution:
- Automated information extraction from documents
- Automated report about the processed documents
Key figures:
- Efficiency benefits: Automated process for a medium-sized logistics company
Approx. 40 kCHF savings p.a. - Effectiveness benefits: Less issues with audit and compliance
At least 40 kCHF p.a. - Qualitative benefits: Improved communication, foundation for additional services
- Est. Implementation time (to be confirmed upon project setup): Initial PoC: 1 month. Tailored data extraction for your organization: 2-3 months. Setup of secure API: 1-2 months. Optional deep integration to your IT systems: TBD
- Demo available
Logistics Extranet
Your challenges:
Our solution:
Key figures:
- Written communication between drivers and routing orchestrators is hard
- Drivers logs have to be consolidated into central systems, which takes time
Our solution:
- Web-based extranet to centralize written communication, drivers interact over their phone without need for additional hardware or software
- Easy front-end to upload key documents, including OCR and data extraction as per previous use-case
- Extranet can be further enhanced with automatic sensor data (e.g. location information)
- User authentication and access rights out-of-the-box
- Alerts via web-frontend, SMS, Email; possibility to add speech-to-text capabilities
Key figures:
- Efficiency benefits: Automated process for a medium-sized insurance
Approx. 40 kCHF savings p.a. - Effectiveness benefits: Easier audit-trail
At least 40 kCHF p.a. - Qualitative benefits: Improved communication, foundation for additional services
- Est. Implementation time (to be confirmed upon project setup): Initial PoC: 2 weeks. Tailored Extranet for your organization: 1-2 months. Setup of secure API: 1-2 months. Optional deep integration to your IT systems: TBD
- Demo available
Fleet overview
Your challenges:
Our solution:
Key figures:
- Missing overview of who is where and when
- Expert vendor solutions are costly and require dedicated hardware
Our solution:
- Extraction of location data using open-source smartphone apps
- Great bang-for-the-buck, very effective desptie low cost
- Your data is available to you and consolidated in a time-series database
- All communication conducted via secured protocols and run exclusively on CH Sense6 infrastructure
Key figures:
- Efficiency benefits: transparency on fleet location
Approx. 40 kCHF savings p.a. - Qualitative benefits: creates the data foundation for improved fleet management analytics
Organization analytics and predictions
Your challenges:
Our solution:
Key figures:
- You have difficulty planning seasonal customer requests
- You have difficulty organizing your resources and assets to service your customers
Our solution:
- Expertise in iterative work with key experts and stakeholders to consolidate your organization's historic data into a single model
- Based on this historic data as key hypotheses for the future, the model allows 2 main predictions on a configurable time interval (daily or weekly recommended)
- (1) It simulates customer demands across granular services and aggregates these up to a global prediction
- (2) It simulates your organization's "production capabilities" and can help explore what-if scenarios
- This combination allows to respond to sophisticated senior management questions. Do I have enough resources? How should I organize in case of a best-/middle-/worst-case scenario? Where are my key areas for improvement
Key figures:
- Overall benefits: Deep understanding of what drives your customer requests, deep understanding of your organization's production capabilities incl. KPIs and early-warning quantitative thresholds
Price to be discussed on a case-by-case basis - Est. Implementation time (to be confirmed upon project setup): Understanding of approach and available data sources: 6 weeks. Setup of data extraction and consolidation on regular basis: 1 month. Creation of forecast (1): 1.5 months. Creation of forecast (2): 1.5 months. Challenging and fine-tuning sessions: 2 months. Hand-over to production: 1 month
- Success stories available