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Manufacturer

Name

We handle the code.

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Manufacturer

Name

We handle the code.

The Customer's Initial Situation (As-Is State)

Our Approach to Analyzing the As-Is State: At the beginning of our collaboration, we conducted an in-depth analysis of the customer's existing processes and challenges. We worked closely with the 10-person expert support team to gain a precise understanding of their daily workflows, the tools they used, and their biggest hurdles.

The Customer's Initial Situation (As-Is State)

The Result of the Analysis

(The As-Is State):

Our analysis revealed a critical and highly inefficient situation. A specialized 10-person expert team was responsible for answering inquiries from technicians sent directly from the job site. With a catalog of around 6 million products, this led to several core problems:

The Result of the Analysis

(The As-Is State):

Massively Inefficient, Repetitive Research:

The team frequently found themselves repeating extensive research on the same issues, highlighting the need for a centralized knowledge base.

Massively Inefficient, Repetitive Research:

The team frequently found themselves repeating extensive research on the same issues, highlighting the need for a centralized knowledge base.

Massively Inefficient, Repetitive Research:

The team frequently found themselves repeating extensive research on the same issues, highlighting the need for a centralized knowledge base.

Imminent Loss of Expert Knowledge:

Critical insights about products and suppliers were largely held by veteran employees, posing a risk of knowledge loss during transitions.

Imminent Loss of Expert Knowledge:

Critical insights about products and suppliers were largely held by veteran employees, posing a risk of knowledge loss during transitions.

Imminent Loss of Expert Knowledge:

Critical insights about products and suppliers were largely held by veteran employees, posing a risk of knowledge loss during transitions.

Fragmented and Inaccessible Information:

Essential data was scattered across various systems (Jira, legacy databases, PDM), making it nearly impossible to quickly locate spare parts.

Fragmented and Inaccessible Information:

Essential data was scattered across various systems (Jira, legacy databases, PDM), making it nearly impossible to quickly locate spare parts.

Fragmented and Inaccessible Information:

Essential data was scattered across various systems (Jira, legacy databases, PDM), making it nearly impossible to quickly locate spare parts.

Long Response Times and High Costs:

This inefficiency caused longer wait times for technicians, leading to repair delays, higher costs, and unhappy customers.

Long Response Times and High Costs:

This inefficiency caused longer wait times for technicians, leading to repair delays, higher costs, and unhappy customers.

Long Response Times and High Costs:

This inefficiency caused longer wait times for technicians, leading to repair delays, higher costs, and unhappy customers.

The clear result was:

The clear result was: The existing process was not sustainable, was extremely costly, and could no longer meet the market's demands for speed and service quality.

Start an Audit

The clear result was:

The clear result was: The existing process was not sustainable, was extremely costly, and could no longer meet the market's demands for speed and service quality.

Start an Audit

The clear result was:

The clear result was: The existing process was not sustainable, was extremely costly, and could no longer meet the market's demands for speed and service quality.

Start an Audit

Fragmented Client Inquiries

Unqualified requests from many channels create chaos and block effective routing.

Fragmented Client Inquiries

Unqualified requests from many channels create chaos and block effective routing.

Fragmented Client Inquiries

Unqualified requests from many channels create chaos and block effective routing.

The Chaotic Funnel

Incoming requests lack structure, leading to information loss and critical delays.

The Chaotic Funnel

Incoming requests lack structure, leading to information loss and critical delays.

The Chaotic Funnel

Incoming requests lack structure, leading to information loss and critical delays.

Inefficient Team Delegation

Manual delegation causes bottlenecks, team burnout, and customer frustration.

Inefficient Team Delegation

Manual delegation causes bottlenecks, team burnout, and customer frustration.

Inefficient Team Delegation

Manual delegation causes bottlenecks, team burnout, and customer frustration.

The Search for Answers

Teams waste time hunting for answers in scattered data, with no knowledge sharing.

The Search for Answers

Teams waste time hunting for answers in scattered data, with no knowledge sharing.

The Search for Answers

Teams waste time hunting for answers in scattered data, with no knowledge sharing.

Our Approach to Problem Analysis

Our Approach to Deepening the Analysis: Building on the as-is analysis, we conducted targeted, compact workshops with all relevant stakeholders-from the expert team to product data management (PDM) and internal IT. Our goal was to uncover the roots of the identified problems and jointly define the precise requirements for a future-proof solution. We asked open-ended questions to understand not just the symptoms but the causes of the inefficiency.

Our Approach to Problem Analysis

The Result of the Problem Analysis:

This phase provided a sharper understanding of the core challenges and led to a crucial realization:

The Result of the Problem Analysis:

This phase provided a sharper understanding of the core challenges and led to a crucial realization:

The Result of the Problem Analysis:

This phase provided a sharper understanding of the core challenges and led to a crucial realization:

A Simple Search Tool Is Not Enough:

The key issue was efficiently sharing knowledge while minimizing redundant research efforts.

A Simple Search Tool Is Not Enough:

The key issue was efficiently sharing knowledge while minimizing redundant research efforts.

A Simple Search Tool Is Not Enough:

The key issue was efficiently sharing knowledge while minimizing redundant research efforts.

Knowledge Preservation Is a Strategic Goal:

Establishing a centralized knowledge hub was crucial for preserving expert insights.

Knowledge Preservation Is a Strategic Goal:

Establishing a centralized knowledge hub was crucial for preserving expert insights.

Knowledge Preservation Is a Strategic Goal:

Establishing a centralized knowledge hub was crucial for preserving expert insights.

Speed Is the Decisive Factor:

Quick responses to inquiries from job sites were essential for enhancing service quality.

Speed Is the Decisive Factor:

Quick responses to inquiries from job sites were essential for enhancing service quality.

Speed Is the Decisive Factor:

Quick responses to inquiries from job sites were essential for enhancing service quality.

The result was a clear mission:

We needed to develop an intelligent knowledge base that not only stores data but actively secures knowledge and radically accelerates the identification process through the use of modern technology.

Start an Analysis

The result was a clear mission:

We needed to develop an intelligent knowledge base that not only stores data but actively secures knowledge and radically accelerates the identification process through the use of modern technology.

Start an Analysis

The result was a clear mission:

We needed to develop an intelligent knowledge base that not only stores data but actively secures knowledge and radically accelerates the identification process through the use of modern technology.

Start an Analysis

Automated Request Triage

We will consistently capture and process requests from every client channel.

Automated Request Triage

We will consistently capture and process requests from every client channel.

Automated Request Triage

We will consistently capture and process requests from every client channel.

Automated Request Triage

An AI engine will analyze and classify all requests, turning chaos into actionable tasks.

Automated Request Triage

An AI engine will analyze and classify all requests, turning chaos into actionable tasks.

Automated Request Triage

An AI engine will analyze and classify all requests, turning chaos into actionable tasks.

Dynamic Workload Delegation

We will automatically assign tasks based on team expertise, availability, and workload.

Dynamic Workload Delegation

We will automatically assign tasks based on team expertise, availability, and workload.

Dynamic Workload Delegation

We will automatically assign tasks based on team expertise, availability, and workload.

Centralized Knowledge Hub

We will create a single source of truth by combining all product and solution data.

Centralized Knowledge Hub

We will create a single source of truth by combining all product and solution data.

Centralized Knowledge Hub

We will create a single source of truth by combining all product and solution data.

The Result of the Concept Phase

(The Solution Idea):

The outcome was a detailed concept for an intelligent spare parts database (SPDB) that is far more than just a reference tool:

The Result of the Concept Phase

(The Solution Idea):

The outcome was a detailed concept for an intelligent spare parts database (SPDB) that is far more than just a reference tool:

The Result of the Concept Phase

(The Solution Idea):

The outcome was a detailed concept for an intelligent spare parts database (SPDB) that is far more than just a reference tool:

The Company's "Central Brain":

The application was designed as the central source of truth. Every resolved inquiry, every successful part identification, is documented in the system and is immediately available for all future requests. This eliminates repetitive research by design.

The Company's "Central Brain":

The Company's "Central Brain":

AI Image Recognition as the Main Tool:

Technicians or the support team can simply upload a photo of the defective part. An artificial intelligence searches the entire catalog and provides suitable suggestions in seconds.

AI Image Recognition as the Main Tool:

Technicians or the support team can simply upload a photo of the defective part. An artificial intelligence searches the entire catalog and provides suitable suggestions in seconds.

AI Image Recognition as the Main Tool:

Technicians or the support team can simply upload a photo of the defective part. An artificial intelligence searches the entire catalog and provides suitable suggestions in seconds.

Securing Generational Knowledge:

Through the structured documentation of solutions and expert tips, the know-how of employees is digitized and preserved for the company indefinitely.

Securing Generational Knowledge:

Through the structured documentation of solutions and expert tips, the know-how of employees is digitized and preserved for the company indefinitely.

Securing Generational Knowledge:

Through the structured documentation of solutions and expert tips, the know-how of employees is digitized and preserved for the company indefinitely.

Modern & Scalable Architecture:

The concept included a robust technical foundation (including React/Next.js, Node.js, Elasticsearch, Azure Cloud) to handle the massive amount of data and enable future growth.

Modern & Scalable Architecture:

The concept included a robust technical foundation (including React/Next.js, Node.js, Elasticsearch, Azure Cloud) to handle the massive amount of data and enable future growth.

Modern & Scalable Architecture:

The concept included a robust technical foundation (including React/Next.js, Node.js, Elasticsearch, Azure Cloud) to handle the massive amount of data and enable future growth.

Developing a Solution (The Concept)

Our Approach to Concept Development:   With a clear understanding of the problem, we designed the concept for a holistic solution in an agile process. Instead of adapting standard software, we pursued a "greenfield" approach. We sketched out a modern web application with AI-powered image recognition at its core, embedded in an architecture that serves as a central knowledge platform.

Developing a Solution (The Concept)

The clear result was:

The result was a clearly defined plan for an innovative solution that was precisely tailored to the identified core problems and promised measurable added value.

Start an Analysis

The clear result was:

The result was a clearly defined plan for an innovative solution that was precisely tailored to the identified core problems and promised measurable added value.

Start an Analysis

The clear result was:

The result was a clearly defined plan for an innovative solution that was precisely tailored to the identified core problems and promised measurable added value.

Start an Analysis

One Front Door

Clients use any channel. We capture the request so they never have to find a contact.

One Front Door

Clients use any channel. We capture the request so they never have to find a contact.

One Front Door

Clients use any channel. We capture the request so they never have to find a contact.

All Channels Unified

All conversations from any channel are unified into a single, complete view.

All Channels Unified

All conversations from any channel are unified into a single, complete view.

All Channels Unified

All conversations from any channel are unified into a single, complete view.

Intelligent Routing

Our AI engine analyzes, filters, and routes every request to the best agent.

Intelligent Routing

Our AI engine analyzes, filters, and routes every request to the best agent.

Intelligent Routing

Our AI engine analyzes, filters, and routes every request to the best agent.

Unified Dashboard

A 360° dashboard gives your team full context to manage multiple requests.

Unified Dashboard

A 360° dashboard gives your team full context to manage multiple requests.

Unified Dashboard

A 360° dashboard gives your team full context to manage multiple requests.

Future-Proof Ecosystem

A scalable ecosystem built for growth, efficiency, and low operational costs.

Future-Proof Ecosystem

A scalable ecosystem built for growth, efficiency, and low operational costs.

Future-Proof Ecosystem

A scalable ecosystem built for growth, efficiency, and low operational costs.

Automatic spare part relation, connection to CRM for previous customer requests. Matching with other requests and their solutions... up ot creating a proposal for the client, which will then be sent from the app to the client. One UI for everything

Realization, Implementation, and Go-Live

Our Approach to Implementation: codable GmbH took full responsibility for the realization of the concept—from development and implementation to go-live. We worked in short, agile cycles to quickly deliver initial functional versions and directly incorporate feedback from the expert team. From the outset, the focus was on the rapid delivery of core functionalities, especially AI-powered image recognition, to create the greatest value immediately.

Realization, Implementation, and Go-Live

The Result:

The Final Solution and Its Impact

The commissioning of the new spare parts database led to transformative and directly measurable improvements:

The Result:

The Final Solution and Its Impact

The commissioning of the new spare parts database led to transformative and directly measurable improvements:

The Result:

The Final Solution and Its Impact

The commissioning of the new spare parts database led to transformative and directly measurable improvements:

Problem of Repetitive Research Solved:

Today, the SPDB functions as the company's collective memory as planned. The cycle of redundant work has been successfully broken.

Problem of Repetitive Research Solved:

Today, the SPDB functions as the company's collective memory as planned. The cycle of redundant work has been successfully broken.

Expert Knowledge Sustainably Secured:

The valuable knowledge of the employees is now systematically captured and protected from loss. The platform becomes more valuable with every use.

Expert Knowledge Sustainably Secured:

The valuable knowledge of the employees is now systematically captured and protected from loss. The platform becomes more valuable with every use.

Creation of a Strategic Advantage:

The fast and precise support for technicians has strengthened customer loyalty and given the company a clear competitive advantage.

Creation of a Strategic Advantage:

The fast and precise support for technicians has strengthened customer loyalty and given the company a clear competitive advantage.

Problem of Repetitive Research Solved:

Today, the SPDB functions as the company's collective memory as planned. The cycle of redundant work has been successfully broken.

Expert Knowledge Sustainably Secured:

The valuable knowledge of the employees is now systematically captured and protected from loss. The platform becomes more valuable with every use.

Problem of Repetitive Research Solved:

Today, the SPDB functions as the company's collective memory as planned. The cycle of redundant work has been successfully broken.

Expert Knowledge Sustainably Secured:

The valuable knowledge of the employees is now systematically captured and protected from loss. The platform becomes more valuable with every use.

Radically Reduced Response Times:

AI image recognition allows for the identification of parts in seconds instead of hours. The expert team can now answer inquiries from the job site almost in real-time.

Radically Reduced Response Times:

AI image recognition allows for the identification of parts in seconds instead of hours. The expert team can now answer inquiries from the job site almost in real-time.

Efficient and Effective Expert Team:

The team is freed from time-consuming routine searches and can concentrate on complex cases, which has significantly increased service quality and employee satisfaction.

Efficient and Effective Expert Team:

The team is freed from time-consuming routine searches and can concentrate on complex cases, which has significantly increased service quality and employee satisfaction.

TL;DR

All problems and solutions together

TL;DR

All problems and solutions together

TL;DR

All problems and solutions together

Solution: Your application allows users to simply upload a photo of the required part. AI-powered object recognition identifies the relevant component within the image. The user can also crop the photo to narrow the search focus. The app then scans the database for visual matches, delivering the correct product or spare part in seconds.

Problem: A technician is on-site and doesn't recognize a specific installed part. Searching for serial numbers or descriptions is often tedious and prone to errors.  

1. Intelligent Image Recognition & Search

Solution: The application bundles all relevant data into a single, central database. Whether it's a main product or a tiny spare part, all information—including factory numbers and technical details—is structured and quickly accessible.

Problem: Crucial information about products, spare parts, exploded-view drawings, and manuals is scattered across different systems, folders, and manufacturer catalogs. 

2. Centralized Knowledge and Spare Parts Database

Solution: The "DeepSearch" feature scans not only the database entries but also the full content of all stored documents. This includes product catalogs, price lists, technical data sheets, and service manuals. A single search term is all it takes for the system to find the needle in the haystack.

Problem: The required spare part is only mentioned in an old PDF catalog or a 2021 price list that no one wants to search through manually. 

3. DeepSearch Across All Documents

Solution: The application is directly connected to the customer service ticketing system. A technician can start a search directly from the "ticket context." Information from customer inquiries and the resulting spare parts lists are documented directly in the system (e.g., Jira), making the process transparent and efficient for everyone involved.

Problem: The customer service team creates a ticket for a repair. The technician then has to manually transfer the information from the ticket to the spare parts search. 

4. Seamless Integration with Ticketing Systems (e.g., Jira)

Solution: Each product is maintained as a comprehensive data record. Users can see not only the part they searched for but also suitable alternatives, necessary accessories, and the corresponding spare parts lists at a glance. This drastically reduces order errors and opens up cross-selling opportunities.

Problem: A product is more than just an article number; it has accessories, alternative products, various images, and specific spare parts lists for different years of manufacture.  

5. Comprehensive Product Information Management (PIM)

Problem: A technician is on-site and doesn't recognize a specific installed part. Searching for serial numbers or descriptions is often tedious and prone to errors.  

1. Intelligent Image Recognition & Search

Problem: Crucial information about products, spare parts, exploded-view drawings, and manuals is scattered across different systems, folders, and manufacturer catalogs. 

2. Centralized Knowledge and Spare Parts Database

Problem: The required spare part is only mentioned in an old PDF catalog or a 2021 price list that no one wants to search through manually. 

3. DeepSearch Across All Documents

Problem: The customer service team creates a ticket for a repair. The technician then has to manually transfer the information from the ticket to the spare parts search. 

4. Seamless Integration with Ticketing Systems (e.g., Jira)

Problem: A product is more than just an article number; it has accessories, alternative products, various images, and specific spare parts lists for different years of manufacture.  

5. Comprehensive Product Information Management (PIM)

Problem: A technician is on-site and doesn't recognize a specific installed part. Searching for serial numbers or descriptions is often tedious and prone to errors.  

1. Intelligent Image Recognition & Search

Problem: Crucial information about products, spare parts, exploded-view drawings, and manuals is scattered across different systems, folders, and manufacturer catalogs. 

2. Centralized Knowledge and Spare Parts Database

Problem: The required spare part is only mentioned in an old PDF catalog or a 2021 price list that no one wants to search through manually. 

3. DeepSearch Across All Documents

Problem: The customer service team creates a ticket for a repair. The technician then has to manually transfer the information from the ticket to the spare parts search. 

4. Seamless Integration with Ticketing Systems (e.g., Jira)

Problem: A product is more than just an article number; it has accessories, alternative products, various images, and specific spare parts lists for different years of manufacture.  

5. Comprehensive Product Information Management (PIM)

Problem: A technician is on-site and doesn't recognize a specific installed part. Searching for serial numbers or descriptions is often tedious and prone to errors.  

1. Intelligent Image Recognition & Search

Problem: Crucial information about products, spare parts, exploded-view drawings, and manuals is scattered across different systems, folders, and manufacturer catalogs. 

2. Centralized Knowledge and Spare Parts Database

“As a long-time Divio Partner, we've successfully used and offered their superior cloud hosting services to our customers. Divio's commitment to excellence allows us to focus on what we do best - building quality web applications for our clients while they expertly manage the cloud infrastructure.”

Mike Kusber

zentraler Ersatzteilservice der GC- und GUT-Gruppe - Cordes & Graefe Holding

The clear result was:

The final result is not just a piece of software, but a transformed process and a strategic asset that sustainably secures the customer's efficiency and future viability.

Start a Project

The clear result was:

The final result is not just a piece of software, but a transformed process and a strategic asset that sustainably secures the customer's efficiency and future viability.

Start a Project

The clear result was:

The final result is not just a piece of software, but a transformed process and a strategic asset that sustainably secures the customer's efficiency and future viability.

Start a Project

Used Technologies

The final result is not just a piece of software, but a transformed process and a strategic asset that sustainably secures the customer's efficiency and future viability.

Used Technologies

The final result is not just a piece of software, but a transformed process and a strategic asset that sustainably secures the customer's efficiency and future viability.

Used Technologies

The final result is not just a piece of software, but a transformed process and a strategic asset that sustainably secures the customer's efficiency and future viability.

Amazon AWS S3

Amazon AWS Simple Storage Solution (S3) is a cloud-based storage service that offers high scalability, data availability, and security. With S3, you can securely and reliably store any amount of data.

Angular

The Angular JavaScript framework is a web application framework that helps developers build single-page applications. It is based on the Model View Controller (MVC) architectural pattern and aims to simplify both the development and testing of web applications. The Angular framework offers a range of features such as two-way data binding, dependency injection, and an extensible HTML template language. Furthermore, the Angular framework is `open source and supported by Google.

Ansible

Ansible is a powerful automation tool that helps you manage your infrastructure. Ansible can help you automate tasks like server provisioning, network configuration, and managing software deployments.

Apache Maven

Blackblaze

Backblaze is a cloud storage and backup service that offers unlimited storage for a monthly fee. The service provides secure backups of files and folders with the option to schedule automatic backups. Backblaze also offers an optional private encryption key for additional security.

Bootsrap

The Bootstrap CSS framework is a collection of predefined CSS rules that can be applied to a web page to create a consistent, professional look. The framework contains a base set of CSS rules for typography, layout, and other common website elements that can be customized or overridden as needed.

Amazon AWS S3

Angular

Ansible

Apache Maven

Blackblaze

Bootsrap

Amazon AWS S3

Angular

Ansible

Apache Maven

Blackblaze

Bootsrap

Team

The final result is not just a piece of software, but a transformed process and a strategic asset that sustainably secures the customer's efficiency and future viability.

Team

The final result is not just a piece of software, but a transformed process and a strategic asset that sustainably secures the customer's efficiency and future viability.

Team

The final result is not just a piece of software, but a transformed process and a strategic asset that sustainably secures the customer's efficiency and future viability.

Full stack Development and operations

Erk Struwe

Full stack Development and operations

Erk Struwe

Full stack Development and operations

Erk Struwe

Full stack Development and operations

Alexander Bartsch

Full stack Development and operations

Alexander Bartsch

Full stack Development and operations

Alexander Bartsch

Full stack development and UI/UX

Lars

Full stack development and UI/UX

Lars

Full stack development and UI/UX

Lars

Full stack development and UI/UX

Benno

Full stack development and UI/UX

Benno

Full stack development and UI/UX

Benno

Start A Project

"We needed to solve a complex operational bottleneck that was costing us time and money. codable GmbH stood out from the beginning with their exceptional communication. They didn't just hear our problem; they understood the business impact deeply. The speed at which they delivered a high-quality, enterprise-grade application was remarkable. The solution is stable, intuitive, and has been fundamental in restructuring our support model, allowing us to serve our partners more effectively than ever before."

Karl Hoffmann

_____ - Cordes & Graefe Holding

Mike Kusber

zentraler Ersatzteilservice der GC- und GUT-Gruppe - Cordes & Graefe Holding