Coherent For Transportation & Logistics (T&L)
Go-To-Market faster by automating the pricing process, and drastically reducing the turnaround time for digital Transformation
Transportation & Logistics (T&L) requires precision, planning, and a significant amount of data which makes Excel the ideal tool for business modelling. Digitize and Automate the internal and external pricing structure for your commercial team and customers by instantly integrating rates into your TMS, CRM, or web based platform.
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We specialize in conversion, optimization, and integration of spreadsheet-based models transforming these into high-quality reusable assets that can seamlessly integrate with your T&L technology stack and operational procedures. This provides an effective transition from manual spreadsheet-based workflows, to automated code-based applications and no coding is needed!

Convert and optimize your T&L spreadsheets
Transport and logistics companies use spreadsheets in their daily operations as well as for calculating cargo insurance rates. Here are some ways in which spreadsheets are used:
Risk Assessment
Insurance companies often assess the risks associated with insuring transportation and logistics companies. Spreadsheets can be used to gather and analyze data related to the client's operations, such as the types of vehicles, cargo, drivers, routes, and past claim history. These spreadsheets can help underwriters evaluate risks and determine appropriate premium rates.
Premium Calculation
Spreadsheets are useful for calculating insurance premiums. Insurers can use formulas and functions in spreadsheets to consider factors such as vehicle value, cargo type, location, driver experience, and loss history. By inputting relevant data, the spreadsheet can automatically calculate the premium amount, taking into account various factors and rating criteria.
Policy Management
Spreadsheets can be used to maintain records and track insurance policies for transportation and logistics companies. Each policy can have a separate sheet, containing information such as policy number, insured party, coverage details, terms, and conditions. This allows insurers to easily search and retrieve policy information when needed.
Claims Management
Spreadsheets are valuable for managing insurance claims. When a claim is filed, insurers can use spreadsheets to record and track relevant details, such as the date of loss, claimant information, incident description, adjuster notes, and settlement amounts. This helps streamline the claims process, ensuring that all necessary information is captured and easily accessible.
Loss Analysis
Spreadsheets enable insurers to perform loss analysis for transportation and logistics companies. By inputting claims data, insurers can create pivot tables, charts, and graphs to identify trends, patterns, and common causes of losses. These insights can assist in risk mitigation efforts, identifying areas where improvements can be made to reduce future losses.
Reporting and Analytics
Spreadsheets provide a flexible platform for generating reports and conducting data analysis. Insurers can summarize and present data related to premiums, claims, policy renewals, and other relevant metrics. This allows stakeholders to make informed decisions, evaluate performance, and identify areas for improvement.
Excel is perpetual, used to model everything in every industry including Transportation & Logistics. Freight, Parcel, Brokers, and 3PL companies often use spreadsheets because they offer a simple and flexible way to organize, manage, and analyze data.
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By converting your business logic in Excel to reusable software assets, you're not only streamlining core revenue processes like annual/quarterly/monthly/daily bids via RFQs/RFPs or automating Sales Incentive Management tools but also:
Streamlined processes and automation
Software assets allow for the automation of repetitive tasks, workflows, and calculations, enabling transportation and logistics companies to streamline their processes. This automation can result in time savings, increased efficiency, and reduced operational costs.
Advanced Analytics and reporting
Converting business logic to software assets provides opportunities to leverage advanced analytics and reporting capabilities. Companies can generate customized reports, visualize data trends, and gain deeper insights into their operations, enabling data-driven decision-making and strategic planning.
Integration with other systems
Software assets can easily integrate with other existing systems, such as customer relationship management (CRM), enterprise resource planning (ERP), or transportation management systems (TMS). This integration allows for seamless data exchange, improved workflow integration, and enhanced overall operational efficiency.
Enhanced collaboration and accessibility
Excel spreadsheets can be difficult to collaborate on and share among team members. By converting business logic to software assets, companies can leverage cloud-based platforms or web applications that enable real-time collaboration, access from multiple devices, and controlled user permissions, fostering better teamwork and accessibility.
Improved data accuracy
Manual data entry and formula errors can occur when relying on Excel spreadsheets, leading to inaccuracies and potential operational issues. By migrating business logic to software assets, companies can enforce data validation rules, automate data inputs, and mor digital application build effots, enabling resources to be allocated elsewhere.
Tracking Shipments and inventory
Track shipments, inventory levels, and other logistical data
Monitor movement of goods, and ensure delivery
Data Analysis
Sort, Filter, and Manipulate Data
Analyze large datasets
Identify trends, patterns, and areas of improvement
Finance Management
Budget, Forecast, and Track expenses
Monitor costs, revenues, and profits
Make informed decisions about resource allocation
Perform what-if scenario simulation at huge scale
Detect formula errors in seconds
Route Optimization and Capacity Management
Calculate and optimize routes for trucks and other transportation vehicles
Reduce costs by determining the most efficient routes by analyzing delivery locations, distances, and traffic patterns
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