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AI Use Cases
synvert Accel­er­at­ors
telecommunications antenna
Suc­cess stories

Com­mu­nic­a­tions, Media & Telecom  - Retail Com­mis­sion Dia­gnostics Anom­aly Detection

Go back to success stories

About

Com­mu­nic­a­tions, Media & Telecom

A tele­com­mu­nic­a­tions com­pany faced anom­alies in repor­ted sales fig­ures, requir­ing manual checks. synvert built an Oracle-based archi­tec­ture, and trained a Machine Learn­ing model to detect and visu­al­ize these anom­alies, sav­ing time and improv­ing rev­enue accuracy.

Ini­tial situation

The cus­tomer was exper­i­en­cing unusual beha­vior where the repor­ted sales fig­ures were occa­sion­ally anomalous.

For this reason, it was neces­sary to manu­ally check how much sales were made and whether there were any anom­alies in the ori­ginal figures.

Archi­tec­ture

The archi­tec­ture is built on Oracle using tech­no­lo­gies such as Pyspark, Sklearn, Pandas, and Tableau.

Gen­er­ated bene­fits

It saved time by elim­in­at­ing manual error check­ing and allowed for a more accur­ate know­ledge of revenue.

Ser­vices accom­plished by synvert 

synvert trained a Machine Learn­ing model to detect such anom­alies and visu­al­ize them to the users in a dashboard.

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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