Hybrid Intelligence – on-premise security and the power of the cloud, together.
DataMagic ERP natively integrates AI-based capabilities into business processes. The AI functions are not separate external tools — they build on the framework's permission, audit and document model, so recognised data goes straight into the right document, trip, warehouse or financial record.
The DataMagic AI agent consists of two separated units. The solution runs on a provider-independent architecture, so it adapts to the client's data-protection preferences — the two agents complement each other, guaranteeing the security of company data.
DM on-premise AI
Runs on the company's internal server and accesses the entire corporate data estate through the ERP: it queries, records, navigates. Company data never leaves the corporate network. The model is trained specifically on the client's business needs.
DM Cloud AI
Works with the most advanced language models available online (Anthropic Claude, Azure OpenAI, Google) and gathers web information. It obtains the needed context from external sources — market benchmarks, legal updates, document interpretation.
Logistics
Heuristic AI-assisted route planning
The DataMagic TMS module determines the optimal routes for vehicles and trips by combining advanced heuristic algorithms with artificial intelligence. We extend classic operations-research methods (Vehicle Routing Problem, Travelling Salesman Problem variants) with machine-learning models — planning also draws on the company's past trip patterns, seasonal trends and drivers' actual performance.
Multi-objective optimisation – simultaneously minimises distance travelled, fuel cost, CO₂ emissions and working time, while maximising vehicle utilisation and on-time delivery.
Complex constraint set – time windows, weight and volume limits, ADR rules, cold-chain requirements, AETR rules, plus depot opening hours and customer loading capacities.
Dynamic re-planning – on new orders arriving en route, traffic jams, weather events or breakdowns it recalculates in real time and proposes only the minimal necessary change.
Predictive travel-time estimation – more accurate arrival times based on historical GPS data, traffic patterns and time-of-day characteristics than the static data of conventional map providers.
Multimodal and multi-depot support – joint optimisation of any number of sites, subcontractors and vehicle types (owned fleet, rented vehicle, carrier partner).
What-if analysis – the dispatcher can run different scenarios (opening a new depot, expanding the fleet, tariff change) and the system quantifies the expected impact.
Procurement
AI-based parts and procurement support
A truck in downtime means not just repair costs but lost freight revenue and eroded customer trust. DataMagic AI turns routine parts procurement into a strategic, data-driven process.
Predictive parts-demand forecasting – based on the vehicle's type, mileage, age, usage and repair history, it predicts which parts will fail and when (brake pads, tyres, filters, timing belt, AdBlue pump, turbo, clutch).
Smart inventory optimisation – suggests minimum and maximum stock per vehicle type and site, based on supplier lead time, part criticality, purchase price and perishability.
Multi-supplier RFQ and comparison – ranks by a composite score: price, reliability, past delivery accuracy, quality-complaint rate, payment terms and delivery time.
OEM and replacement part identification – finds compatible alternatives (original, aftermarket, refurbished) by part number, VIN or text description, and compares them on price, performance and warranty.
Price monitoring and market benchmark – flags unjustified price increases and compares the price paid against the market average — creating a negotiating position.
Grouped ordering – it batches non-urgent needs for volume discounts, while ordering urgent, downtime-causing items immediately from the fastest source.
Integration with the workshop and dispatch – it coordinates servicing and procurement based on planned service dates and the AI forecast, so no vehicle stands idle waiting for a part.
Learning system – every failure, repair and supplier delivery feeds back into the model, so forecasts and supplier scores keep improving.
Documents
Automatic recognition and data extraction
Processing incoming documents, invoices, waybills and contracts is no longer manual data entry — DataMagic AI reads the content, places it into documents, and only asks for approval.
OCR in Hungarian and English – for printed and handwritten content, preserving tabular structures.
Automatic incoming-invoice recognition – seller, buyer, dates, per-line VAT rates, line items, totals and payment data go straight into the system as an incoming-invoice document.
Delivery note / waybill / CMR – sender, recipient, cargo, quantities, signature and stamp detection; automatic matching to the trip recorded in the TMS.
Contracts and certificates – key-data extraction (validity, parties, amounts, critical clauses), automatic filing into the document manager.
Feedback learning – user corrections become training data; accuracy keeps increasing during rollout.
Full audit – every recognition, confidence value and user intervention is logged.
Image analysis
Smart damage diagnostics from photos
Automatic documentation of vehicle and cargo condition — objective evidence between client and subcontractor, categorised and matched to the trip.
Damage identification – recognition of scratches, dents, paint wear and breakage; coordinate-based marking on the image with severity estimation.
Photo comparison (before / after) – automatically highlights new damage or differences based on the earlier and new image.
Cargo inspection – identification of pallet count, packaging type, hazardous-material labels and external damage.
Contextual storage – all recognised data and markings go into the document manager, with searchable metadata and in the context of the related trip / document.
AI assistant
Trained, company-specific assistant
The client gets their own assistant, based on RAG (Retrieval-Augmented Generation) technology trained on the company's context. The assistant is available on every ERP screen and understands where the user is.
What the assistant knows
The full functionality of DataMagic ERP – every module, setting, screen and process.
The client's own processes – master data, rules, the to-be operating model documented during rollout.
Current Hungarian legislation – VAT Act, Accounting Act, corporate tax, Rules of Taxation, tax-authority regulations; updated automatically.
Accounting and financial knowledge – posting, VAT handling, period closing, financial statements.
What the assistant does
Contextual conversation – a channel available on every screen; it understands where the user is and what they see, and gives an answer built on that context.
Launching actions in natural language – “Summarise June's empty runs by region”, “Open a new trip order with 100 pallets”, “Show the posting issue on this invoice”.
Professional advice – recommends the right VAT rate, posting entry, trip type, storage zone or accounting step — with reference to the law or internal rule.
Report and analysis creation in natural language – with instant display (table, chart, dashboard).
Onboarding and help – new users get instant answers, significantly reducing training and onboarding time.
Forecasting and anomaly detection – automatic flagging of payment delays, fuel spikes, unusual trip types and stock anomalies.
Availability
It is there where the work happens – outside the ERP as well
The assistant does not only live on the ERP screens. The same assistant is reachable from a browser, with no installation, on a computer, a tablet and a phone, and input can be spoken instead of typed.
Without opening the ERP – day-to-day questions need no login: the assistant also answers on its own surface, from data the user is entitled to see.
From any device – computer, tablet and phone; from a browser, with no installation, platform independently.
Voice input – questions and instructions can be spoken; dictated text immediately becomes a processed request, so it works in the field, in the warehouse or on the road.
Context-aware answers – inside the system it knows which document or screen the user is on, and builds the answer on that.
Sources named – every answer shows where the data came from (general ledger, transport, stock, document store), and for external information the cited source can be looked up.
For every kind of user – from the daily administrator to the executive, the same assistant with different data according to permissions.
Execution
It does not only answer: it carries the task out
The assistant breaks a complex request into steps that can be followed, guides it through, and summarises at the end what happened. It can write and send data only after the user has approved it.
Tasks broken into steps – a complex instruction becomes a plan that can be followed, and the user sees throughout where the process stands.
Documents created from an instruction – for example: "prepare a material order with the recipe quantities plus 20% margin and send it to the suppliers" – the assistant compiles the order and sends it by e-mail to the named partners.
Incoming invoices filed from a photo – from a photographed invoice it reads the supplier, the invoice number, the net, VAT and gross values and the payment deadline, then confirms with a reference number.
Goods receipt from a delivery note – from a photo of the delivery note it proposes the receipt line by line, matched to the recorded order.
Planning proposals with figures – it analyses trends from earlier periods, offers an observation (on seasonal energy cost in the fourth quarter, for instance), then proposes plan values per cost type that can be taken into the plan in one step.
Reports and export – a natural-language question becomes an aggregated, sorted table, ready for Excel or CSV export, with no filters to set.
datamagic-erp · AI assistant — cost plan proposal
Security
Data protection, permissions, compliance
DataMagic AI is not a “black box” — it runs on the same permission, audit and GDPR model as the rest of the ERP modules.
RBAC compliance – the assistant can only access data the user starting the conversation is also authorised for. DataMagic's role-based model applies to every query.
Provider choice – cloud (Azure OpenAI, Anthropic Claude, Google) or on-premise / private cloud (e.g. Llama, Mistral) — at the client's discretion.
Data-handling guarantee – the system can be configured so that no customer data enters model training (no training on customer data); every call is traceable via a log.
GDPR-aware design – automatic data masking where needed (e.g. removing personal data before document recognition).
Full audit – every AI call, input and response, plus actions accepted / modified by the user, is logged.
An informal consultation
In a short conversation we assess your organisation's needs and explore how DataMagic AI Hybrid Intelligence can optimise your operations.
