The basis for stable, automatable logistics processes
Digital processes, preliminary checks, intelligent scheduling or AI-based decisions only work as well as the data on which they are based. Transport-relevant requirements must be clear, classified and machine-interpretable so that they can be used in ERP, TMS, yard or driver systems without media disruption. Structured data onboarding ensures that existing information — even if it is still available today in free texts, documents or different system logics Lies lie — in a consistent, standardized Structure can be transferred. This creates reliable data sets that can be automatically checked, further processed and shared throughout the entire logistics process.
Structured master data — unstructured logistics requirements
In many companies, some of the transport-relevant master data is already available in a structured way — particularly in ERP and TMS systems.
Product master data or business data from business partners is usually available cleanly in master data structures.
When it comes to exact delivery addresses or opening times, it becomes inaccurate. At the latest when it comes to information such as closing days, available or necessary technical equipment, safety equipment or temperature requirements, process-relevant information can usually be found as notes in free text fields or PDFs.
This is exactly where the real challenges lie:
In unstructured logistics requirements — often accumulated over years, rarely uniformly structured and varying in format, wording and degree of timeliness.
The bottleneck isn't a lack of technology. There is no consistent, verified data basis. An initial data onboarding is a structured transformation step.
Requirements are interpreted differently
Knowledge remains personal
Digital collaboration is reaching its limits
Automation projects cannot be implemented
Preliminary checks are not possible based on rules
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
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 will 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-supported pre-structuring
Based on coordinated field mapping, unstructured content is analyzed and prepared using AI. AI supports this in a very concrete way:
- 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.
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
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 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
„Die Implementierung neuer Funktionen und die Verbesserungen bei bestehenden Features erleichtern uns die Datenpflege auf Loady enorm. Durch die Integration mit anderen Systemen und die Einführung von CSV-Massenuploads haben wir den Aufwand der Initialpflege eines Datensatzes um 80–90 % reduzieren können. Loady ermöglicht es uns somit, die Qualität unserer Be- und Entladeanforderungen sehr effizient zu erhöhen.“
How Loady makes planning more reliable
Loady creates a common, structured information base for all parties involved in a transport. Logistic-relevant requirements are maintained centrally and made available throughout the entire process — regardless of systems, roles or partners.
Complementary: Collaborative maintenance of customer requirements
Straight discharge requests can also:
- maintained directly by customers
- be invited for verification via workflow
- or stored directly in a structured manner as part of an eCommerce order
Alternatively, existing data sets can be read in using AI and then confirmed by the respective business partner. This not only creates an initial structure —
but continuously increasing data quality.
Cooperation with existing consulting partners
Many companies are involved in transformation or system projects in parallel. Our onboarding methodology is open:
- Existing logistics or IT consulting partners can be integrated
- internal project teams can support the structure definition
- Loady specialists provide targeted support with classification and regulations
Alternatively, experienced Loady partners are available who are familiar with the data structure and logistical use cases.
The goal is not to replace existing projects — but to supplement them with standardized, process-related data logic.
Explore Loady
Industry solutions
Precise delivery processes are crucial in the automotive industry — Loady ensures clear transport requirements and prevents delays.
Whether raw materials, specialty chemicals or distribution - Loady delivers clear transportation requirements and prevents delays.
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In the environment of large construction sites, dynamically adaptable, clear loading and unloading requirements are essential for safety, efficiency and on-time delivery.
With clear loading requirements, route planning and time window management run better - and logistics centers can better calculate when goods arrive and are redistributed.
In particular, liquid transport due to the risk of product contamination — but also deliveries of packaged goods — benefits from clear requirements for safe loading and unloading.
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In industrial production, clear requirements help to reduce loading times and errors, and thus also rework, which ensures the flow of materials and has a positive effect on production and logistics costs.
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In mechanical engineering, Loady supports the mostly time-critical delivery of materials and the delivery of finished goods - often in special sizes with special customer requirements.
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Logistics service providers benefit from clear requirements and reduce waiting and downtime, empty and extra km — they also enable new drivers to be onboarded quickly.
Energy generation, waste incineration and recycling are part of KRITIS, whose requirements Loady sustainably supports, particularly when instructing truck drivers and service providers.
Connect Loady to your business processes
Loady fits directly into existing ERP, TMS, yard, eCommerce, procurement and telematics systems, so that all charging requirements are automatically available in its own corporate and logistics systems.
Support as needed
We'll guide you through the onboarding process and, with introductions and best practices, ensure that your team is quickly trained and can take action. If necessary, we can help you create and update data sets in Loady.
That's what our say
customers about Loady
