Industrial Data Science & AI
Industrial-grade Data Science. Designed for operations. Delivered fast.
Deploying industrial AI in complex Manufacturing & Supply Chain environments
A clear gap persists
Artificial Intelligence raises strong expectations across industries, largely fueled by the rise of Generative AI. Yet in industrial environments, a clear gap persists between promises and operational adoption for two main reasons:
GenAI solutions enable automation but fail to optimize complex industrial bottlenecks.
Many AI developers rely on overly generic models that struggle to adapt to complex industrial processes and real-world operational needs.
At Avencore, we bridge this gap
Our mission: solve complex industrial challenges with tailored data science models.
Combining deep industry expertise with advanced Data Science – from Operations Research to Machine Learning – we co-design solutions with your teams.
Share your operational challenge
Book a free industrial AI diagnosticSome industrial AI & data science use cases
We operate across the entire value chains of our clients’ industrial sectors.
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SALES FORECASTING
A packaging company wanted to anticipate demand more accurately to shift from make to order to make to stock.
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+20 pts forecast accuracy
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+7 pts OTD
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PURCHASING COST REDUCTION
A luxury cosmetics producer looked to better challenge supplier quotations leveraging physical characteristics and 3D drawings to predict product costs.
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5% savings implemented
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Faster RFQ cycles
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SCHEDULING OPTIMIZATION
A Tier 1 aerospace supplier faced a rapid ramp up with no CAPEX margin, where surface treatment operations emerged as a bottleneck.
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+40% throughput unlocked
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No additional CAPEX
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OUTBOUND LOGISTIC PERFORMANCE
A Tier 1 defense supplier sought to analyze 10 years of logistics performance beyond OTD and define an optimal future footprint.
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19% sub-optimal flows identified
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Future footprint optimized
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INBOUND LOGISTIC PERFORMANCE
A leading industrial equipment manufacturer wanted to optimize inbound logistics flows for a production site and quantify the associated cost reduction potential.
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38% reduction in inbound logistics costs
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DEVELOPMENT EFFICIENCY
A defense systems OEM faced a major ramp up and sought to cut development lead time and non-recurring costs through IVVQ optimization.
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25% reduction of required prototypes
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15% reduction in non-recurring costs
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What makes the difference is not the algorithm itself, but the way it is co-designed with operational teams, so they recognize, trust, and embed its outcomes.
Book a demoOur industrial AI & advanced analytics capabilities
We
detect
predict
optimize
We identify hidden inefficiencies and anomalies within your operations
- Detect non-quality
- Flag NVA (Non-Value-Added) logistic flows
We predict key operational variables to support better industrial decisions
- Logistics load forecasting
- Energy cost prediction
- Part price prediction
We enhance performance under real industrial constraints
- Scheduling optimization
- Optimization of prototype configuration and test sequence
Not sure where AI can create value in your operations?
Start with a free Industrial AI diagnostic to identify where high-impact use cases exist within your operations.
How to Start Your Industrial AI Journey with Avencore?
A proof of concept in 10 weeks
We turn industrial AI ambition into an operational and executable tool.
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1 Data processing
3 weeks
- Data maturity assessment
- Datasets acquisition and cleaning
- Data creation (workshops, measurements, benchmarks)
- Data centralization
Deliverable
Centralized and reliable database ready for modeling
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2 Model Development
4 weeks
- Weekly sprints for model evolution
- Back-office developments
- Outputs challenge sessions with operational stakeholders and backlog updates
- Regular presentation of latest results to the core team
Deliverable
Optimization or prediction model validated with operational teams
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3 Tool Development
3 weeks
- Interface specification
- Interface development
- Model and interface integration
- Documentation and teams’ training
Deliverable
Operational tool ready to be used by your teams
Industrial AI & data science consulting for manufacturing & supply Chain
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Industrial AI refers to the application of advanced analytics, Machine Learning, and Operational Research to solve complex manufacturing, engineering, and supply chain challenges.
Unlike generic AI initiatives, Industrial AI focuses on real operational constraints: capacity, cycle times, engineering complexity, logistics flows, cost structures, and governance processes.
At Avencore, Industrial AI means turning industrial data into decision-support tools that improve production, procurement, logistics, and engineering performance, not delivering isolated proofs of concept.
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We support industrial leaders operating in complex and regulated environments, including:
- Aerospace & Defense
- Energy & Utilities
- Advanced Industrial Manufacturing
- Mobility & Transport
- Packaging & Process Industries
- Luxury manufacturing
Our expertise is particularly relevant for organizations facing ramp-ups, capacity constraints, supply chain volatility, cost pressure, or engineering complexity.
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When properly embedded into decision-making processes, industrial AI generates measurable operational impact, such as:
- Significant improvement in forecast accuracy and service level
- Throughput increase without additional CAPEX
- OEE improvement and bottleneck elimination
- Logistics cost reduction and network optimization
- Procurement savings through predictive costing
- Engineering efficiency gains and reduction in non-recurring costs
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We follow a structured, execution-driven methodology:
- Weeks 1–3 – Data Processing. Acquisition, cleaning, consolidation, and enrichment of industrial datasets.
- Weeks 4–7 – Model Development. Design of the models and iterative validation phases with operational teams.
- Weeks 8–10 – Tool Deployment. Integration into a usable interface, documentation, and team training.
The outcome is a ready-to-use operational tool embedded into existing processes.
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Depending on the solution’s complexity, the need for a collaborative tool, and your IT architecture constraints, the solutions can be delivered as:
- Desktop applications (local executable)
- Server-hosted applications (on-premises)
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Three elements differentiate Avencore:
- Industrial-focused DNA. We start from operational pain points, not from algorithms.
- Fast, custom development. We translate industrial needs into custom-built models, delivered in ~10 weeks
- Deployment mindset. We deliver executable tools owned and operated by your teams, with no black box and no recurring subscription model.
Our role is to bridge the gap between AI ambition and industrial execution.
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Avencore structures its industrial AI expertise around core building blocks, each addressing a specific type of industrial challenge.
These are not off-the-shelf solutions, but reusable blocks that we adapt and combine to design fully tailored models for each client context.
Our core building blocks include:
- SIGHT – Sales Forecasting & Anticipation
Advanced forecasting engine improving demand visibility and stock allocation. - SCAN – Predictive Costing from Physical & 3D Attributes
Cost prediction models benchmarking supplier quotations directly from technical data. - BOOST – Scheduling Optimization & OEE Improvement
Optimization engine unlocking hidden capacity and increasing throughput without CAPEX. - FLOW – Logistics Flow Modeling & Footprint Optimization
Diagnostic and optimization tool redesigning logistics networks and streamlining flows. - SPEED – IVVQ & Engineering Optimization
Model optimizing test sequences, reducing prototypes, and accelerating qualification processes.
- SIGHT – Sales Forecasting & Anticipation
Discover where AI can create value in your operations Let’s get in touch
Start with a free Industrial AI Diagnostic to identify where high-impact use cases exist within your operations.
Book a 30-min industrial AI scoping call