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.

The actual project scope depends primarily on:

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

1. Project-based introduction with system integration

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.

2. Quick introduction to the structured transfer of logistics requirements

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

The structured onboarding process

Companies can onboard their data into Loady themselves and enter, upload and integrate their locations, products, customer requirements via API. Especially for customer requests and pre-load restrictions, our customers often opt for methodical support to save time and ensure high data quality. Our approach follows a clear process:

Unser Ansatz folgt einem klaren Prozess:

1
Joint data check
2
Field mapping and process reconciliation
3
AI-powered pre-structuring
4
Technical validation & sharpening
5
Activation in operational processes
1

Joint data check

The start is deliberately pragmatic. We sit down with the responsible departments and look at where transport-relevant information is located today. Typically in:

  • ERP or TMS fields
  • CRM entries
  • free text fields (“Delivery notes”, “Carrier Notification”, etc.)
  • PDFs, emails, or existing lists

The aim is to create clarity:
 What information is available in a structured way — and where is it only available implicitly or unstructured?

2

Field mapping and process reconciliation

In the next step, we compare existing data fields with the Loady structure. Together, we clarify:

  • How can existing system fields be meaningfully assigned?
  • What information is actually required in operational processes?
  • Where is there scope for interpretation or ambiguities?

This is not a comprehensive consulting project, but a clear, comprehensible mapping: Existing system logic → standardized Loady structure → operational use in the process This creates a clean basis for AI-supported onboarding in the next step.

3

AI-powered pre-structuring

On the basis of coordinated field mapping, unstructured content is analyzed and prepared using AI. The AI provides concrete support:

  • to identify transport-relevant information from free texts or documents
  • Detect outdated or duplicate content
  • Assigning requirements to appropriate fields in the Loady structure
  • to classify typical patterns and requirements

Depending on the initial quality, this makes it possible to pre-structure 70-90% of data sets wisely. The aim is not to make decisions automatically —
 but to create a reliable, prepared database.

4

Technical validation & sharpening

In the next step, the departments check the data sets. This specifically addresses:

  • Correctness of assignment
  • Up-to-dateness of content
  • Resolving possible ambiguities
  • Addition of missing information
  • Involving customers via workflow in Loady to update data fact sheets

Since the preparatory work has already been done, this step is significantly more efficient than manually recording all requirements. At the same time, the system learns from the validations —
 As a result, future assignments will be more precise and faster.

5

Activation in operational processes

After validation, the structured data sets are available for use along the entire process chain. You can now:

  • in freight purchasing
  • in the freight order
  • in planning and scheduling systems
  • in preliminary checks
  • in yard or driver processes

Be rule-based and used across systems. Only in this step does data onboarding have its full effect:
 Information is not only documented — it is operationally effective.

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.

Easy setups・1-5 days
Ready to go

Lean setup — without integration data check

  • Clearly store your own transport requirements
  • Low complexity of products, few product types
  • Activate suppliers and logistics partners for data use
Medium requirements・4-8 weeks
Ready to go in a few weeks

Lean setup — without integration data check

  • Clearly store your own transport requirements
  • Enter the transport requirements of business partners
  • Integration of external warehouse logistics
  • Manageable complexity of products
  • Activate suppliers and logistics partners for data use
  • 1-2 interfaces in logistics systems
Complex logistic・2-4 months
Ready to go in a few months

Complex industrial environments

  • Define your own transport requirements and those of your business partners
  • Many different products with diverse, product-specific or customer-specific requirements
  • Integration of external warehouse logistics
  • Extensive pre-charge restrictions for liquid products
  • Integration with eProcurement, ERP, TMS, or Yard systems

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. ”

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Portraitfotos von David Lalo und Jean-Luc Schwind mit jeweiliger Jobbezeichnung Sales Consultant auf dunkelblauem Hintergrund.

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