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AI Use Cases
synvert Accel­er­at­ors
holographic interface at a car repair shop
Suc­cess stories

Indus­tri­als  - NLP​ in Auto­mot­ive Reporting

Go back to success stories

About

Indus­tri­als

synvert imple­men­ted an NLP solu­tion for a Ger­man car man­u­fac­turer, using tech­no­lo­gies like Apache Solr and Spark to auto­mate report pro­cessing, improve prob­lem iden­ti­fic­a­tion, and enhance fail­ure pre­ven­tion through effi­cient data inges­tion and topic modeling.

Ini­tial situation

At the cus­tomer, a Ger­man car man­u­fac­turer, mech­an­ics were tasked with col­lect­ing repair inform­a­tion by manu­ally writ­ing reports.

Going over the reports and com­bin­ing the inform­a­tion to cre­ate insight was tedi­ous and inefficient.

Archi­tec­ture

For the solu­tion a Banana Frame­work and tech­no­lo­gies such as Apache Solr and Spark are used.

Gen­er­ated bene­fits

It is much easier to under­stand which prob­lems are occur­ing, and group them together in order to gain action­able clusters.

This allows much quicker reac­tion and more robust fail­ure prevention.

Ser­vices accom­plished by synvert 

synvert cre­ated an inges­tion mech­an­ism includ­ing OCR digit­iz­a­tion, arte­fact removal and text cleans­ing. This mech­an­ism has since been fed by well over a mil­lion reports.

As a final step in the Nat­ural Lan­guage Pro­cessing pipeline, topic mod­el­ling was used to tag the doc­u­ments accord­ing to their content.

Fur­ther­more, synvert built a web UI for effi­cient retrieval and explor­a­tion of the parsed documents.

Categories
All
Tech
Banking
Communications, Media & Telecom
Consumer Goods & Retail
Energy & Resources
Health & Life Science
Industrials
Insurance
Public Sector

Vehicle Data Store

Soft­ware­Fact­ory at a lead­ing auto­mot­ive soft­ware company

DevX Impact at a HR-Tech Company

Driv­ing Inter­na­tional Expan­sion for a Lead­ing E‑Commerce Company

Accel­er­at­ing Cloud-Nat­ive Devel­op­ment in the Auto­mot­ive Industry

Retail Com­mis­sion Dia­gnostics Anom­aly Detection

Set­ting up a Reli­able and Power­ful Platform

Pre­dic­tion of cus­tomer prob­ab­il­ity to churn

Early Detec­tion of Mech­an­ical Issues

NLP​ in Auto­mot­ive Reporting

Oper­a­tional Data Lake

Real-Time Mar­ket­ing

Auto­matic clas­si­fic­a­tion of cars by their model

Dies­el­tech Program

Data Recon­cili­ation

Cent­ral­ized Data Warehouse

Data as a Ser­vice – BI & Big Data CC

Oper­a­tional Work/Support in Data Warehousing

Erosion Detec­tion with Com­puter Vision

Devel­op­ment and Imple­ment­a­tion of a Fully Auto­mated MLOps Platform

Pre­dic­tion and Alloc­a­tion Optim­iz­a­tion for sta­tion­ary Channels

Build­ing a Near Real-Time Recom­mend­a­tion System

Migra­tion AWS data plat­form to Google Cloud

Design and Devel­op­ment of a Google Cloud-Based Data Platform

Refact­or­ing, shift and new devel­op­ment of Data Ser­vices in Google Cloud

Estab­lish­ment of a Mas­ter Data Man­age­ment Foundation

Cent­ral Data Lake

Replace­ment of a com­plex IBM Data­stage structure

CRM ana­lyt­ics and lead management

Stand­ard­iz­a­tion of eval­u­ation processes

Devel­op­ment of an ERP data hub

Estab­lish­ment and fur­ther devel­op­ment of a DWH

Devel­op­ment of a group-wide BI platform

Estab­lish­ment of a new sales report­ing system

Source data migra­tion with auto­ma­tion of the source data connection

Cloud self-ser­vice BI for data-driven cor­por­ate management

Devel­op­ment of vari­ous ML use cases with AWS

Replace­ment of an in-house soft­ware development

Com­pany-wide data integration

Imple­ment­a­tion of real-time data links

Smart Data Catalog

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