Increase profits and reduce costs of promotions
Dynamic pricing powered by neural networks helps you set smarter promo prices, grow margin, and stop wasting budget on underperforming campaigns.
Maximize your sales potential
Our solution turns your historical transactions and market data into concrete pricing recommendations that grow profit, not just sales volume.
Higher profitability with optimal prices
Models evaluate hundreds of pricing scenarios and recommend the best options for maximizing revenue and margin.
Reduced pricing inefficiencies and waste
The model suggests Underpriced items, misaligned tariffs, and overpriced services are detected and corrected to eliminate financial leakage.
Scenario simulation for better planning
Test “what-if” pricing strategies before deployment to understand their impact on revenue, utilization, or consumption.
Faster, automated pricing cycles
The model automates manual analysis and price updates, reducing delays and enabling more frequent, data-driven adjustments.
Smarter decisions based on real demand signals
Prices are informed by historical patterns, seasonality, elasticity, and external factors—not static rules or intuition.
Improved forecasting across your operations
Neural networks enhance prediction accuracy for demand, consumption, and costs, creating more stable pricing strategies.
Additional key features
The dynamic pricing engine combines advanced neural networks with a transparent analytics layer so commercial teams can trust and act on every recommendation.
Multi-scenario pricing optimization
Supports promotional pricing, dynamic tariffs, resource-based pricing, load balancing, and peak/off-peak models.
KPI impact simulation
Shows how price changes affect revenue, margin, demand, utilization, or consumption.
Integration-ready via API
Easily connects to ERPs, billing systems, e-commerce, consumption meters, or logistics platforms.
Price elasticity estimation
Calculates elasticity for products, services, or resource usage to determine the most profitable pricing levels.
Continuous model retraining
Models learn from new data to stay accurate even as conditions, demand, or costs change.
Unified pricing data model
Combines transactions, consumption data, operational metrics, costs, and external market indicators.
Segmentation & clustering
Groups customers, products, or assets to apply differentiated pricing strategies for each segment.
Transparent reporting for pricing teams
Dashboards and reports clarify model decisions and allow teams to manage pricing with confidence.
Target industries
Dynamic pricing is ideal wherever promotions and fast-moving assortments have a major impact on margin and volume.
Integrations and compatibility
Our AI solutions integrate seamlessly with your existing systems from ERPs and CRMs to cloud storage, data sources, and MLOps platforms — ensuring fast deployment and full compatibility with your technology stack.
Why BigHub
We help enterprises turn AI from experimentation into measurable business results. Our approach combines deep technical expertise with a clear focus on impact, scalability, and long-term value.
Business ROI first
Every project starts with a clear business case. We identify high-return opportunities and design AI solutions that bring measurable impact — not experiments, but outcomes.
Long term partner
We don’t deliver and disappear. BigHub works as your strategic partner, ensuring that AI initiatives stay aligned with your business goals and continue to deliver value over time.
High expertise
Our team combines data engineering, machine learning, and business strategy experience across industries — enabling us to solve complex enterprise challenges end to end.
Security
We design and deploy AI within the strictest security and compliance frameworks. Your data stays protected, your governance transparent, your operations compliant.
Implementation
Our approach ensures a smooth and measurable path from idea to production. Each phase is structured to validate impact, minimize risks, and accelerate value delivery.
We start by identifying a clear business case and defining success metrics. Together, we validate technical feasibility and measurable ROI through a small-scale prototype tailored to your data and systems.
Once the concept is proven, we expand the solution into a controlled production environment. The focus is on performance, user adoption, and integration with existing workflows — ensuring it delivers real business outcomes.
After successful validation, we deploy the full production-ready version. Our team ensures scalability, monitoring, and continuous optimization so your AI solution keeps driving measurable results over time.
Our customer stories
Dynamic pricing is ideal wherever promotions and fast-moving assortments have a major impact on margin and volume.
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How the AI assistant DIEGO accelerated operations at 100+ PLANEO stores
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