2. Benefits of ChatGPT or similar generative AI models for manufacturing
Market best-practice to be verified vs. current challenges in local environment 1/2
◼ Use Case: Automate routine communication tasks, such as responding to common queries from the factory
floor, managing internal requests, or providing quick access to operational manuals and guidelines.
◼ Best Practice: Integrate ChatGPT with internal communication systems to streamline interactions and reduce
response times.
Process Automation
and Optimization
◼ Use Case: Use ChatGPT to manage and track supply chain queries, update inventory status, or provide insights
into logistics.
◼ Best Practice: Integrate ChatGPT with the supply chain management system for real-time data access and
response generation.
◼ Use Case: Use ChatGPT for onboarding new employees, offering training modules, or providing
real-time assistance for complex tasks.
◼ Best Practice: Develop a knowledge base specific to BPC's operations and train ChatGPT on this data to ensure
accurate and relevant responses.
Training and Support
◼ Use Case: Assist in diagnosing equipment issues or guiding through maintenance procedures.
◼ Best Practice: Combine ChatGPT with IoT sensors and diagnostics tools to provide real-time, AI-driven
troubleshooting and maintenance advice.
Maintenance and
Troubleshooting
Supply Chain
Management
Ready-to-help
core expertise areas
of instarea co.
3. Benefits of ChatGPT or similar generative AI models for manufacturing
Market best-practice to be verified vs. current challenges in local environment 1/2
◼ Use Case: Implement ChatGPT for gathering feedback from the factory floor, reporting issues, or suggesting
improvements.
◼ Best Practice: Create a feedback loop where ChatGPT collects and analyzes data, which is then used to improve
processes and operations.
Quality Control and
Feedback Loop
◼ Use Case: If BPC deals directly with customers or suppliers, ChatGPT can be used for handling
inquiries, processing orders, or providing updates.
◼ Best Practice: Train ChatGPT on BPC's product lines, customer service protocols, and order processing
systems.
◼ Use Case: Provide instant access to health and safety guidelines and protocols.
◼ Best Practice: Regularly update the AI model with the latest health and safety regulations and practices specific
to the manufacturing industry.
Health and Safety
Compliance
◼ Use Case: Analyze large volumes of operational data to identify trends, inefficiencies, or areas for
improvement.
◼ Best Practice: Integrate ChatGPT with data analytics tools to generate comprehensive reports and actionable
insights.
Data Analysis and
Reporting
Customized Customer
Service
Ready-to-help
core expertise areas
of instarea co.
4. Chat with your knowledge base or database in a scale, real-time
Human-way conversation with your structured or unstructured text data, documents, procedures, processes
5. Auto-summarize text from raw data, with compressed key ideas
Human-way analyse and translation into predefined language/tone of voice tailored made for its audience
6. instarea vyvíja enterprise-grade inovatívne informačné systémy
Analýza, návrh, vývoj, prevádzka SW vrátane rozvoja, marketingu a predaja koncovému užívateľovi
www.skpay.sk , eKolok appka ('13 - beží doteraz)
Transakčný bankový systém pre 365.bank a Slovenskú
poštu na vydávanie. akceptáciu platobných kariet a
elektronických peňazí vrátane mobilného POS
terminálu, webovej a natívnych Android/iOS appky
www.marketlocator.sk ('14 - beží doteraz)
Geolokačný marketing a populačná analytika nad
pohybom SIM kariet pre Slovak Telekom, Orange, O2 SK,
T-Mobile CZ, O2 CZ, STC Saudi Arabia
JPP Jednotný Pohľad na Partnera leasingovky
('15 - beží doteraz)
Centralizovaná databáza partnerov (CRM/ERP systém)
pre oblasť financovania predaja jazdených a nových áut
pre ČSOB Leasing vrátane webového fronendu pre
interný informačný systém
DingoDot.com a Bookee.ai ('20 - pripravené na štart)
Mobilná aplikácia pre digitalizáciu bločkov a prediktívne
vedenie účtovníctva pomocou AI (machine learning,
neurónové siete) v predprodukčnej fáze pre DACH
región ako venture capital projekt
…+ mnoho ďalších v SK, CZ a v zahraničí: …vybrané referencie pre AUTONIQ v oblasti automotive, ERP/účtovníctva, AI pre startupy aj korporácie s transakčným backendom, frontendom, web aj mobil aplikáciou:
7. linkedin.com/in/peterfusek linkedin.com/in/peter-čapkovič-34373648
Peter Fusek CEO
is the business lead at instare and its co-founder
With more than 20 years in the financial, banking and telco industries he has
the acumen to build a team of brilliant people and start the practical
disruption in old-fashioned and boring sales operation processes. He wants to
get rid of pains that he was facing during his CFO/COO times and make it
ready for digital/AI era. Peter is looking to engage again both university and
high school students in research of people-less concepts, aiming to use a gen
AI and free-up human resources for rather creative and healthier jobs.
Peter loves to get things done now and by his hands: "We are the ones we have
been waiting for." -- #AllForJan tribute to the murdered young investigative
journalist.
Peter Čapkovič CTO
is the technical grandmaster at instarea and its co-founder
No technology being too new or too complex for Peter, he makes instarea
product excell together with his dev team.
Formerly Peter as CTO covered an architecture, development and operations of
SaaS solutions on global scale in banking, telco, bigdata and IoT areas. Peter is
keen on young technical talents development, so he took various lectures and
he led internships for mid school and university students focusing on IoT,
Machine Learning and GPU computing.
His motto is: "I prefer drawing to talking. Drawing is faster and leaves less room
for lies." --author Le Corbusier
10+ verified synchronized talents available
in our team pool for front-end, back-end, integration,
datascience, UX/UI, marketing, cloud ops
v instarea to berieme osobne, na vlastné tváre, ako rodina aj v práci
už 15 rokov, viac ako 100 ľudí, náš príbeh na facebook , linkedin a instagram