Productive use of Loady for stable, automatable logistics processes in just a few steps
Companies start with Loady from different starting situations. Some integrate Loady deeply into their logistics processes and systems. Others initially use Loady primarily to share their logistics requirements with partners in a structured way. In both cases, the goal is the same: Create a reliable, structured data basis so that logistics processes work with less manual coordination. The difference lies primarily in the amount of data and the degree of system integration.
Typical project phases when introducing Loady
Regardless of scope, many implementations follow a similar process.
1. Evaluation and project definition
Definition of target image, scope and relevant data sets.
2. Data analysis and preparation
Analysis of existing data sources (ERP, TMS, CRM, documents, free texts).
3. Data onboarding and structuring
Transfer of logistics requirements into the Loady data structure.
4. User empowerment and training
Introduction of relevant teams to the use of Loady.
5. Integration into operational processes
Use of data in tenders, planning, scheduling or location processes.
6. Productive use and development
Extension of use along logistics processes.
Complexity of logistics requirements
number of products
Number of locations and charging points
Number of customer requests
desired integration into existing systems
The challenges of transportation in waste and energy management
Typical for:
- manufacturing industrial companies
- Companies with many products and locations
- complex supply chains with numerous customer requirements
- Organizations with an existing ERP, TMS or yard system landscape
In these cases, Loady is usually introduced as part of the existing logistics and master data architecture.
Typical contents of such a project are:
- Onboarding of locations and charging points
- Structuring products and product categories
- Acceptance of customer delivery requirements
- Definition of transport requirements along transport lanes
- Illustration of special requirements (e.g. temperature requirements or pre-charge restrictions)
Since much of this information is already partly available in ERP, TMS or CRM systems, integration into existing master data structures is often useful.
After building up the data base, many companies are expanding the use of Loady to operational processes, for example:
- Freight tenders
- Freight orders
- Yard management processes
- Driver briefings and operational communication
This introduction is typically carried out as a structured project process with several phases.
Typical for:
- smaller industrial companies
- Warehouses or logistics terminals
- Sites without complex system integration
- Companies that initially want to share their requirements in a simple and structured way
Here, Loady is primarily used as a structured information platform.
Typical steps include:
- online introduction to using Loady
- Independent creation of relevant location, loading and unloading information
- Structuring logistics requirements
- Create links or QR codes to share with carriers and drivers
Such implementations can often be completed within a few hours or days. Even without system integration, companies are already benefiting from:
- clearly structured logistics requirements
- multilingual online views
- easy transfer to logistics partners
Typical steps include:
- online introduction to using Loady
- Independent creation of relevant location, loading and unloading information
- Structuring logistics requirements
- Creating links or QR codes to share with carriers and driversSuch implementations can often take place within a few hours or days.
Even without system integration, companies are already benefiting from:
- clearly structured logistics requirements
- multilingual online views
- easy transfer to logistics partners
How long does the initial data onboarding take?
The duration depends heavily on the complexity of the logistics requirements and the existing data situation.
What influences the duration? In particular, data quality, logistical complexity, depth of integration and available internal resources.
Complex industrial environments
In industries such as chemicals, pharmaceuticals or food — with:
- product-specific restrictions
- different requirements for each charging point
- extensive preload restrictions
- Integration with ERP, TMS, or yard systems
Onboarding typically takes place in several structured phases. Depending on the scope, a realistically planned project ranges from 2 to 4 months to full go-live.
Important here:
A large part of the time is spent not on technology, but on technical coordination and validation — i.e. precisely on quality assurance of the database.
Complex logistics: 2-4 months
Medium complexity
Companies with:
- clear but manageable location requirements
- few product types
- limited integration requirements
are often ready to start much faster.
Medium requirements: 4-8 weeks
Lean set-up — without integration
There are also companies that deliberately start simply, especially when it comes primarily to:
- to clearly store your own delivery requirements
- to define product categories
- to activate suppliers or logistics partners for data use
can onboarding take place very quickly. Smaller companies create their data independently — without integrations — and use Loady directly for communication.
Typical examples:
- “Big machines”
- “Large machines with cranes”
- “Pallet goods”
These categories are clearly described and then shared via a link with suppliers, customers (if picked up by yourself) or logistics service providers. In such cases, an operational start is possible within a few hours and days.
Ready to go with simple setups:
1-5 days
Loady customers confirm
“The implementation of new functions and improvements to existing features makes it much easier for us to maintain data on Loady. By integrating with other systems and introducing CSV mass uploads, we have been able to reduce the effort required to initially maintain a data set by 80-90%. Loady thus enables us to increase the quality of our loading and unloading requirements very efficiently. ”
