Process Analysis
Spot inefficiencies, make bottlenecks visible
services
AI consulting by Sellium GmbH from Chemnitz leads mid-sized companies to their own AI strategy in four steps. Understand processes. Optimise workflows. Increase efficiency. Our own framework – the Sellium Method – helps you find your way into AI. Hand in hand.
how it works
We train every level and department of the company on AI and its possibilities, laying the foundation for the transformation.
Our dedicated format supports process analysis and selection in a Use Case Discovery. In parallel, our AI Readiness Check determines your company's current AI maturity and classifies existing AI skills. The IT Check-Up sets the course for your individual AI architecture.
We develop a tailored AI strategy for you with an integrated implementation roadmap combining feasibility, data availability, business impact and process criticality. We think about AI not only technically but strategically and organisationally – AI First. Pilot projects you can experience follow, instead of more concept papers.
Horizontal and vertical scaling of use cases for real ROI, followed by the transfer into the production environment.
services
From process analysis to business analytics.
Spot inefficiencies, make bottlenecks visible
Rethink workflows and anchor them with best practices
AI training and coaching – securing acceptance and adoption
Automate processes with workflows or AI agents
industries
Production, logistics, quality assurance, maintenance.
Artificial intelligence fundamentally changes industrial processes – from production and logistics to quality assurance and maintenance.
In production, AI enables predictive control of manufacturing processes, optimises machine use and reduces scrap through adaptive real-time control. In logistics, AI provides intelligent route planning, inventory forecasts and automated warehouse processes – with higher efficiency and lower costs.
In quality assurance, AI-supported image processing detects defects faster and more precisely than the human eye could. In maintenance, predictive maintenance allows early detection of wear or malfunctions – by analysing sensor data in real time. That minimises downtime and extends the service life of equipment.
Pricing, assortment, demand planning, returns.
Artificial intelligence transforms retail and e-commerce along the entire value chain. In pricing, AI provides dynamic real-time pricing – based on demand, competition, stock levels and customer behaviour. The result is automated pricing strategies that protect margins and increase revenue.
The assortment is optimised on a data basis: algorithms analyse customer preferences, buying behaviour and trends to identify suitable products, adjust assortment depth and account for regional differences.
In demand planning, AI uses historical data, seasonal patterns and external factors (e.g. weather, events) to create precise forecasts. Returns management benefits too: AI recognises return reasons, identifies risky products and suggests preventive measures. Return rates and costs fall as a result.
Onboarding, KYC, fraud detection, risk models.
Artificial intelligence drives digital transformation in the financial industry. In onboarding, AI enables automated, seamless account opening: documents are analysed in seconds, identities verified and processes accelerated – without compromising security.
In KYC (Know Your Customer), AI supports continuous monitoring of customer profiles, detects anomalies early and ensures compliant, scalable processes.
Fraud detection benefits particularly from AI-supported pattern recognition: algorithms analyse transactions in real time, identify atypical behaviour and raise the alarm immediately on potential fraud. Risk models also become more precise and dynamic with AI: instead of rigid rules, learning systems integrate a wide variety of data sources. That significantly improves credit decisions, pricing and portfolio management.
Scheduling, coding, billing, triage assistance.
Artificial intelligence noticeably relieves healthcare – through automated workflows, precise data processing and intelligent assistance systems. In scheduling, AI optimises allocation by availability, urgency and resource utilisation. The result: less idle time, faster appointments and better utilisation of staff and equipment.
Medical coding benefits from AI-supported text recognition and automatic assignment of diagnoses and procedures to the correct billing codes. That reduces errors, saves time and ensures consistent documentation.
In billing, AI helps process complex service data quickly and correctly – including plausibility checks and compliant handling. Queries from insurers are reduced and the liquidity of medical institutions improves.
Load forecasts, grid operation, asset management.
The energy industry faces enormous challenges: volatile feed-in from renewables, rising electricity demand and complex grid infrastructures. Artificial intelligence provides decisive impulses here – for efficiency, stability and future viability.
For load forecasts, AI analyses consumption and generation data in real time and creates precise predictions – taking weather data, consumer profiles and market movements into account. In grid operation, AI supports intelligent control and monitoring of power grids. It detects anomalies early, simulates grid loads and helps avoid bottlenecks.
In asset management, AI analyses the condition of technical assets such as transformers, lines or substations based on sensor data and maintenance histories. That enables predictive maintenance, extends life cycles and lowers operating costs.
Case processing, citizen services, knowledge search.
Artificial intelligence fundamentally changes the work of authorities and administration. In case processing, AI automates recurring processes such as application checks, document classification or deadline monitoring. That speeds up workflows, reduces processing times and frees capacity for more complex tasks.
In citizen services, AI enables personalised support available around the clock – through chatbots, voice assistants or intelligent form assistance. Citizens get answers faster and can handle requests digitally without waiting times or office visits.
Knowledge search is transformed as well: large data holdings and legal requirements can be searched and structured efficiently. Staff find relevant information faster and on a sounder basis, which speeds up and improves decision-making.
typical use cases
Forecasting for purchasing & supply chain
Automatically extract, check and route documents
Predict failures, reduce downtime
Chat and voice bots for first-level support or HR, knowledge search, ticket prioritisation
AI-based scoring models and anomaly detection
Segmentation, next best action and attribution
faq
The Sellium Method is Sellium GmbH's four-stage consulting framework: 1. Enablement, 2. Use Case Discovery with AI Readiness Check and IT Check-Up, 3. Strategy synthesis and piloting the quick wins, 4. Production Readiness.
Depending on company size and the number of business areas, the duration varies from a few weeks to months. We are happy to advise you in a personal conversation.
Process data/logs, master data and, where relevant, documents – we also start with incomplete data via workshops and sampling.
We follow a privacy-by-design / Privacy First AI approach. That includes role-based access, pseudonymisation and GDPR-compliant processing.
Through the intelligent, process-oriented definition of KPIs that allow objective evaluation during the process.
contact
Happy to help with anything AI. We will get back to you promptly.
We will get back to you shortly. If it is urgent, you can reach us at +49 371 524 99 140 or contact@sellium.ai.