Better inventory and pricing decisions. Every day.

Better inventory and pricing decisions. Every day.

Inventory and pricing powered by AI
built for pharmaceutical wholesalers

CURIO is Profiter’s vertical AI platform designed to support pharmaceutical wholesalers in inventory management and dynamic pricing.
It optimises replenishment processes, gain tighter control over inventory, and enable dynamic pricing management based on demand, competitive context, market variables, and industry constraints.

A native AI for pharmaceutical complexity

One AI to orchestrate everything

A vertical AI platform with end-to-end visibility across the pharmaceutical supply chain, designed to turn complex data into optimal operational decisions on ordering, stock coverage, and pricing — not just analysis.
Trained on the dynamics of all supply chain nodes (manufacturers, logistics providers, distribution centers, wholesalers, groups, and pharmacies), CURIO operates natively in a just-in-time logic, coordinating demand, inventory, procurement, and pricing.

Actionable decisions across the entire value chain, with faster execution.

Your data remains fully yours

All company data is isolated, protected, and contractually safeguarded. It is never reused for other customers or external model training. CURIO enhances your data through advanced what-if simulations, turning historical information into a decision-making asset.

Full value from your data, with zero compromise on data privacy.

Trained on your supply chain. Not a generalist

The predictive engine is trained on internal and external pharmaceutical supply chain data. Accuracy is measured using standard KPIs (MAPE, WMAPE, or customer-defined benchmarks).

Reliable, measurable, and comparable forecasts.

It already understands your industry

CURIO, our AI collaboration interface, is designed around the rules, constraints, and opportunities of pharma distribution.
No need to train the system on industry fundamentals—it starts from the right context.

Faster go-live, lower complexity, immediately reliable decisions.

More predictive context, zero manual work

CURIO automatically correlates internal data with external demand sensing signals (regulatory bodies, market intelligence providers, product master data) using normalised identifiers such as GTIN, EAN, or national product codes.

More data, richer context, stronger forecasts, without manual mapping.

From single SKU to full portfolio visibility

CURIO is designed to manage up to 500,000 SKUs across pharmaceuticals, medical devices, OTC products, nutraceuticals, cosmetics, and supplements, at single-item level (pack, format, variant). Each product is automatically connected to equivalents and substitutes, active ingredients, product families, and commercial categories—preventing “short-sighted” decisions such as apparent shortages when alternatives are available.

Granular control, service continuity, and smarter decisions.

One AI to orchestrate everything

A vertical AI platform with end-to-end visibility across the pharmaceutical supply chain, designed to turn complex data into optimal operational decisions on ordering, stock coverage, and pricing — not just analysis.
Trained on the dynamics of all supply chain nodes (manufacturers, logistics providers, distribution centers, wholesalers, groups, and pharmacies), CURIO operates natively in a just-in-time logic, coordinating demand, inventory, procurement, and pricing.

Actionable decisions across the entire value chain, with faster execution.

It already understands your industry

CURIO, our AI collaboration interface, is designed around the rules, constraints, and opportunities of pharma distribution.
No need to train the system on industry fundamentals—it starts from the right context.

Faster go-live, lower complexity, immediately reliable decisions.

Your data remains fully yours

All company data is isolated, protected, and contractually safeguarded. It is never reused for other customers or external model training. CURIO enhances your data through advanced what-if simulations, turning historical information into a decision-making asset.

Full value from your data, with zero compromise on data privacy.

More predictive context, zero manual work

CURIO automatically correlates internal data with external demand sensing signals (regulatory bodies, market intelligence providers, product master data) using normalised identifiers such as GTIN, EAN, or national product codes.

More data, richer context, stronger forecasts, without manual mapping.

Trained on your supply chain. Not a generalist

The predictive engine is trained on internal and external pharmaceutical supply chain data. Accuracy is measured using standard KPIs (MAPE, WMAPE, or customer-defined benchmarks).

Reliable, measurable, and comparable forecasts.

From single SKU to full portfolio visibility

CURIO is designed to manage up to 500,000 SKUs across pharmaceuticals, medical devices, OTC products, nutraceuticals, cosmetics, and supplements, at single-item level (pack, format, variant). Each product is automatically connected to equivalents and substitutes, active ingredients, product families, and commercial categories—preventing “short-sighted” decisions such as apparent shortages when alternatives are available.

Granular control, service continuity, and smarter decisions.

Trusted by pharmaceutical wholesalers

Europe's largest pharmaceutical distribution group, operating across 29 markets with 49,000+ employees. PHOENIX Pharma engaged Profiter to benchmark CURIO's AI-driven forecasting against internal models across 1,000 SKUs over 12 months.

forecast accuracy

+0%

Measurable lift in forecasting accuracy versus the internal baseline.

logistics costs

-0.0%

Average reduction across the operational flow.

margin improvement

+0%

Direct margin improvement.

estimated annual savings

0

Estimated annual savings on a 28,000 SKU base

THE CUSTOMER

A leading European pharmaceutical distribution group

49.000+ employees, operating across 29 markets. Dual leadership in wholesale and retail in Southern Europe

The Challenge

Forecasting demand in a complex market

Pharma distribution requires precise forecasts to avoid shortages, overstock, and uncontrolled costs. PHOENIX aimed to objectively assess how much AI could improve accuracy compared to its internal forecasting system.

The approach

Benchmark on ~ 1.000 SKUs ● Profiter AI model vs. internal forecast ● Measurement via Wmape, logistics KPIs, and cost analysis

Results after 12 months

64% of cases: more accurate forecasts ● 7,9% average reduction in logistics costs ● 911.000 € estimated annual savings (on a 28,000 SKU base)

Value delivered to PHOENIX

Higher product availability ● More robust purchasing decisions ● Increased negotiation power with suppliers ● Direct impact on margins and service levels

Trusted by pharmaceutical wholesalers

Europe's largest pharmaceutical distribution group, operating across 29 markets with 49,000+ employees. PHOENIX Pharma engaged Profiter to benchmark CURIO's AI-driven forecasting against internal models across 1,000 SKUs over 12 months.

forecast accuracy

+0%

Measurable lift in forecasting accuracy versus the internal baseline.

logistics costs

-0.0%

Average reduction across the operational flow.

margin improvement

+0%

Direct margin improvement.

estimated annual savings

0

Estimated annual savings on a 28,000 SKU base

THE CUSTOMER

A leading European pharmaceutical distribution group

49.000+ employees, operating across 29 markets. Dual leadership in wholesale and retail in Southern Europe

The Challenge

Forecasting demand in a complex market

Pharma distribution requires precise forecasts to avoid shortages, overstock, and uncontrolled costs. PHOENIX aimed to objectively assess how much AI could improve accuracy compared to its internal forecasting system.

The approach

Benchmark on ~ 1.000 SKUs ● Profiter AI model vs. internal forecast ● Measurement via Wmape, logistics KPIs, and cost analysis

Results after 12 months

64% of cases: more accurate forecasts ● 7,9% average reduction in logistics costs ● 911.000 € estimated annual savings (on a 28,000 SKU base)

Value delivered to PHOENIX

Higher product availability ● More robust purchasing decisions ● Increased negotiation power with suppliers ● Direct impact on margins and service levels

Trusted by pharmaceutical wholesalers

Europe's largest pharmaceutical distribution group, operating across 29 markets with 49,000+ employees. PHOENIX Pharma engaged Profiter to benchmark CURIO's AI-driven forecasting against internal models across 1,000 SKUs over 12 months.

forecast accuracy

+0%

Measurable lift in forecasting accuracy versus the internal baseline.

logistics costs

-0.0%

Average reduction across the operational flow.

margin improvement

+0%

Direct margin improvement.

estimated annual savings

0

Estimated annual savings on a 28,000 SKU base

THE CUSTOMER

A leading European pharmaceutical distribution group

49.000+ employees, operating across 29 markets. Dual leadership in wholesale and retail in Southern Europe

The Challenge

Forecasting demand in a complex market

Pharma distribution requires precise forecasts to avoid shortages, overstock, and uncontrolled costs. PHOENIX aimed to objectively assess how much AI could improve accuracy compared to its internal forecasting system.

The approach

Benchmark on ~ 1.000 SKUs ● Profiter AI model vs. internal forecast ● Measurement via Wmape, logistics KPIs, and cost analysis

Results after 12 months

64% of cases: more accurate forecasts ● 7,9% average reduction in logistics costs ● 911.000 € estimated annual savings (on a 28,000 SKU base)

Value delivered to PHOENIX

Higher product availability ● More robust purchasing decisions ● Increased negotiation power with suppliers ● Direct impact on margins and service levels

From forecast to real availability

Managing stock means making the right decisions on what to order, how much, and when.

CURIO covers the full inventory management cycle, from coverage planning to dynamic replenishment, working at SKU level in a Just-In-Time framework.

Each decision is driven by real demand, supplier lead time, variability, and product lifecycle, turning forecasts into concrete operational actions.

A more competitive catalogue

Identifies which products to stock - not just how much - highlighting strategic SKUs and uncovered opportunities.

Just-in-time inventory

Reduces unnecessary stock, limiting capital lock-up and waste across the supply chain.

Assortment continuity

Manages substitutes, equivalents, phase-in/ phase-out, and seasonality to avoid availability gaps during catalogue changes.

Guided replenishment, not intuition

Supports reorder quantity and timing based on demand forecasts, lead times, and operational constraints.

Always-optimal coverage

Defines ideal stock levels per SKU, balancing availability, rotation, and obsolescence risk.

A more competitive catalogue

Identifies which products to stock - not just how much - highlighting strategic SKUs and uncovered opportunities.

Guided replenishment, not intuition

Supports reorder quantity and timing based on demand forecasts, lead times, and operational constraints.

Just-in-time inventory

Reduces unnecessary stock, limiting capital lock-up and waste across the supply chain.

Always-optimal coverage

Defines ideal stock levels per SKU, balancing availability, rotation, and obsolescence risk.

Assortment continuity

Manages substitutes, equivalents, phase-in/ phase-out, and seasonality to avoid availability gaps during catalogue changes.

Problems it solves

Shortages and lost revenue

Stockouts on high-demand products drive customers and revenue to competitors.

Higher service levels and sales continuity.

Across Europe, this challenge is three times harder to manage than it was ten years ago, requiring significant time and operational effort to resolve.

Overstock and tied-up capital

Excess inventory, slow movers, and end-of-life products generate cost and write-offs.

Less capital immobilized, fewer forced discounts.

Static and reactive decisions

“Gut-driven” replenishment and one-size-fits-all rules across very different SKUs limit competitiveness.

Data-driven decisions that are consistent, traceable, and scalable.

Dynamic Pricing

The right price, for every pharmacy. Every day.

In pharmaceuticals, pricing has traditionally meant fixed price lists.Dynamic pricing goes further—replacing static prices with personalized, data-driven pricing.

CURIO enables wholesalers to define different prices for each pharmacy, on every SKU, based on real commercial conditions and market context.As in travel or hospitality, price becomes a strategic lever that adapts to demand, not a fixed rule.

Personalized pricing

Each pharmacy is treated as a unique customer: sales volume, historical relationship, group membership, loyalty, and targets all feed into price calculation.

Prices that follow the market

Pricing reflects expected demand (30, 60, 90 days), availability, and structured competitor comparison.

Beyond static price lists

No more managing thousands of manual price lists. Prices are generated from data, not rigid rules.

Fully compliant by design

CURIO dynamic pricing operates in full compliance with pharmaceutical regulations, especially for ethical products.

Key capability areas

Dynamic Selling

Sales prices adapt to demand, stock levels, and shortage or overstock risk.

Dynamic Purchase

Offer normalisation, real cost management, supplier risk assessment, and purchasing decision support.

Structured competitive comparison

Competitor price analysis by SKU and category, without triggering destructive price wars.

Problems it solves

Untapped margin opportunities

Prices remain unchanged despite favorable demand conditions.

Unlock hidden margin potential.

Stop the race to the bottom on price

“One-cent-less” competition erodes profitability.

Competitive yet sustainable pricing.

Operational complexity

Manual price list management does not scale.

Customer-level pricing without operational burden.

Uncontrolled pricing decisions

Reactive, fragmented decisions reduce transparency.

Coherent, traceable, strategy-aligned pricing.

CURIO is already used as a reference platform for pharmaceutical dynamic pricing projects, including organizations such as QFARMA.

Vertical. Modular. Ready to scale.

We are pioneers of vertical AI, with real-world experience since 2016 and measurable results, not promises. Combine modules and amplify results.

The technology powering a smarter supply chain

CURIO is built on Profiter AI, our proprietary vertical AI engine, which harmonises all enterprise data through its central hub, CURIO Core.

Connectors

Multiple connectors

REST APIs, ERP/WMS/SCM integrations

Multi-layer data fusion

External data sources (regulatory, market, logistics, weather, promotions, competitors)

Forecasting

Intelligent normalisation

Sell-in/sell-out reconciliation, anomaly detection

Native demand & sales forecasting

Converts real demand into expected sales

Interaction

Multi-role dashboards

HQ and branches with role-based access

Optional Generative AI layer (optional)

Natural language interaction and proactive insights

01 · DATA, FORECASTS AND MODELS

Data Model IT

Your data, finally consistent

A normalised relational database integrating sales, stock, master data and price lists; reconciles sell-in/sell-out and detects anomalies.

Features

Normalised relational data model integrating sales, stock, master data, branches, price lists and lead times.

Automatic reconciliation of sell-in and sell-out to eliminate local distortions.

Detection and correction of anomalies (outliers, data blackouts, inconsistent behaviors).

Management of hierarchical and “family” relationships between SKUs, as required in the pharmaceutical domain.

BENEFITS +

Clean, structured and consistent data, ready for forecasting engines, optimisation algorithms and ERP/WMS integrations.

Forecast Horizons

Accurate forecasts, every day

Multi-horizon forecasting (30–365 days) with confidence metrics (MAE, MAPE, variance), based on exogenous correlations and cyclicality.

Features

Multi-horizon forecasts: short, medium and long term (30–365 days).

Forecasts at single-SKU and single-branch level.

Automatic integration of external signals (e.g. weather, cyclicality, promotions, seasonal dynamics) via correlations and autocorrelations.

Reliability indicators (MAE, MAPE, variance, confidence intervals).

Vertical pharmaceutical model recognising substitutes, equivalents and related products.

BENEFITS +

One single forecast for the entire company, continuously updated and consistent across the whole supply chain.

Custom Model

The predictive twin of your business

AI model trained on your company data, continuously updated through user feedback and market events.

Features

Predictive model trained on proprietary data and historical dynamics.

Continuous updates via new operational inputs and changes in real demand.

Inclusion of exogenous factors and recurring patterns.

Decoupling of real demand from observed sales to properly handle stockouts and operational constraints.

No dependency on external services: proprietary engine running in private cloud.

BENEFITS +

Robust, context-aware forecasts that adapt to change without manual intervention.

Dashboard

Total control, in real time

UX dashboards with KPIs, tables, charts and role-based views (HQ, branches, buyers).

Features

Role-based dashboards for headquarters, buyers, planners and branches.

KPIs for demand, stock, turnover, coverage and forecast performance.

Historical charts, trends, dispersion analysis and forecast version comparisons.

Navigation by SKU, category, branch and related product families.

BENEFITS +

Immediate visibility on stock status, critical issues and opportunities, without manual reporting.

02 · STOCK, OPTIMISATION AND KPIS

Safety Stock

Intelligent safety stock

Automatic calculation of safety stock and coverage based on demand and lead time.

Features

Dynamic safety stock calculation based on demand variability, lead time variability and target service level.

Automatic updates whenever demand or supplier performance changes.

Uncertainty evaluation via forecast confidence intervals.

BENEFITS +

Higher service levels and reduced stockout risk, with inventory always aligned to real demand patterns.

Optimisation

The right quantities, at the right time

Dynamic order quantity optimisation with constraints (MOQ, capacity, target stock).

Features

Optimal order quantity calculation based on coverage, MOQ, capacity, priorities and service targets.

Automatically generated order proposals from forecast data.

Management of supplier constraints and HQ operational preferences.

BENEFITS +

More accurate orders, less overstock, better shelf availability.

Operational KPIs

The metrics that really matter

KPIs on turnover, coverage, sell-out velocity and stockout rate.

Features

Analysis of turnover, coverage, stockout rate and real sell-out velocity.

KPIs integrated with forecast data to highlight deviations between expected and observed demand.

Automatic identification of critical or anomalous SKUs.

BENEFITS +

More reliable planning and targeted corrective actions.

Reporting

Full transparency, zero ambiguity

Historical reports, forecast versions and dispersion analysis.

Features

Historical reporting with forecast versioning.

Monthly dispersion analysis, deviations, variances and distortion drivers.

Standard report sets for HQ and branches, plus BI exports.

BENEFITS +

Complete transparency on forecast performance and the drivers behind deviations.

What-If

Simulate. Evaluate. Decide.

Simulations for promotions, lead time changes and external events.

Features

Simulations covering promotions, demand spikes, lead time changes, assortment updates, substitutions and product discontinuations.

Impact analysis on availability and coverage.

Comparison of alternative scenarios.

BENEFITS +

Stronger decisions and more resilient plans.

ABC/XYZ

Scientific priorities, not intuition

SKU classification using the Tangent Method with differentiated policies.

Features

ABC/XYZ classification using the Tangent Method.

SKU-level priority identification.

Automatic association of stock policies by cluster (replenishment, safety, rotation).

BENEFITS +

Differentiated policies to maximise availability and reduce capital lock-up.

03 · HQ AND BRANCH GOVERNANCE

Branch Orders

Every branch orders at the right time

Automatic order proposals (quantity, timing, risk).

Features

Automatic recommendations for each branch: quantity, urgency, risk and optimal coverage.

Management of branch clusters with highly variable local demand.

Monitoring branch performance versus forecast.

BENEFITS +

Drastic reduction of overstock and understock in peripheral units.

HQ Supervision

The full picture, always up to date

HQ supervises and approves branch orders.

Features

HQ approval or blocking of branch order proposals.

Centralised governance rules on assortments, priorities and stock targets.

Elimination of operational discrepancies.

BENEFITS +

Total control without sacrificing local flexibility.

HQ Integration

From local data to central decisions

Data flows to HQ for centralised visibility.

Features

Structured data flows to HQ for real-time centralised visibility.

Full consistency between local and global data.

Elimination of manual or offline updates.

BENEFITS +

Immediate alignment between central planning and distributed operations.

Inventory HQ

One control room for all inventory

Unified HQ inventory management.

Features

Centralised management of HQ (central warehouse) inventory.

Single view of availability, requirements, turnover and coverage.

Replaces other inventory systems while maintaining ATP integrations where needed.

BENEFITS +

Lean processes and zero inconsistencies between HQ and branches.

04 · LIFECYCLE, ESG AND INTEGRATIONS

Lifecycle

Always consistent, even when the catalogue changes

Phase-in/phase-out and product family management.

Features

Advanced lifecycle management: new / active / slow / phase-out.

Parent-child relationships between discontinued products and substitutes (critical in pharma).

Consistent forecast updates throughout transitions.

BENEFITS +

Forecast continuity during assortment changes, with no data gaps.

Slow / Dead Stock

Recover value from your inventory

Slow-moving and dead stock management with recommendations.

Features

Identification of slow-moving and dead stock.

Operational recommendations for recovery, reallocation, substitution or reduction.

Integration with real demand forecasts to define priorities.

BENEFITS +

Reduced inventory lock-up and waste.

Alerts & To-Do

Focus only on what matters

Alerts, to-do lists and role-based views.

Features

Alert and to-do system by role (buyers, planners, branches).

Automatic highlighting of anomalies, critical stock, demand changes and forecast errors.

Filters and priorities to focus attention.

BENEFITS +

Immediate responsiveness and reduced decision overload.

API & BI Gateway

A platform that speaks your systems

APIs for read/write integration with ERP/WMS/SCM and BI.

Features

REST APIs for read/write integration with ERP, WMS, SCM and BI tools.

Multiple connectors for existing enterprise systems.

No duplication: direct integration with current systems.

BENEFITS +

Information consistency and more automated processes.

ESG Inventory

Inventory that respects the environment

Sustainability KPIs (obsolescence, service level, waste).

Features

ESG KPIs on availability, obsolescence and product destruction.

Calculation of environmental impact of inventory.

Support for EU regulatory compliance.

BENEFITS +

Reduced waste and improved sustainability performance.

Monthly Releases

A platform that grows with you

New features every month, driven by user feedback.

Features

Continuous release of new functionalities based on real user feedback.

Updates aligned with buyers’ and planners’ operational needs.

No disruption to operational systems.

BENEFITS +

A constantly evolving platform, always aligned with changing processes.

Training

Autonomous teams in just a few days

Training programs and continuous support.

Features

Fast onboarding for HQ and branches.

Training on KPIs, forecasting, optimisation and processes.

Ongoing support to maximise adoption.

BENEFITS +

Autonomous operational teams, fast ramp-up and reduced human error.

Optional Add-On (Inventory)

GenAI Inventory

The AI that answers and anticipates
Private natural-language chat with proactive insights and instant answers.

Private internal chat trained on company data.

Instant answers on KPIs, stock, forecasts and anomaly drivers.

Proactive suggestions based on system trends.

ADVANTAGES+

Ultra-fast analysis and shorter decision cycles.

Budget HQ

Annual budgeting built on real data
Generation of annual forecast P&L starting from AI-driven inventory planning.

Transformation of AI inventory forecasts into financial projections for annual budgeting.

Budget simulations and demand-impact analysis.

Continuous alignment between operational and financial planning.

Adaptation to existing financial planning models.

ADVANTAGES+

Budgets fully aligned with commercial planning, based on consistent, shared data across departments.

01 · CUSTOM AND DYNAMIC PRICING

Dynamic Pricing Basic

From price list to personalized pricing

Transform standard price lists into dynamic, customer-specific prices.

Features

Automatic generation of personalized prices from base price lists.

Pricing logic applied at SKU and customer level.

Conversion of multi-price lists into tailored dynamic prices, considering discount classes, canvases and membership levels.

Integration with existing ERP systems.

BENEFITS +

More precise pricing, optimised margins and flexible price lists without manual effort.

Customer Personalization

Every customer is unique

Prices based on history, master data, membership status and sales objectives.

Features

Detailed customer profile analysis.

Segmentation and pricing at category and SKU level.

Differentiated rules by category, objectives and commercial conditions.

BENEFITS +

Stronger loyalty, optimised margins and personalized pricing strategies.

Market Dynamic Pricing

Adapt to the market, in real time

Prices update based on expected demand at 30–60–90 days.

Features

Predictive demand analysis.

Price updates by category and SKU based on forecasts.

What-if simulations for alternative scenarios.

BENEFITS +

Unlock hidden profit opportunities, reduce underpricing and improve market competitiveness.

02 · COSTS, OFFERS AND COMPETITORS

Cost Management

Total cost control

Base price definition considering real costs, lot sizes and operational constraints.

Features

Unit and lot cost calculation.

Aggregation of internal and variable costs.

Management of regulatory and ethical product constraints.

BENEFITS +

Safer margins, reduced error risk and reliable pricing decisions.

Canvas Normalisation

Clear offers, no confusion

Standardises complex offer templates, avoiding confusion and speculative purchasing.

Features

Standardisation of offer canvases.

Analysis of multiple constraints and special conditions.

Integration with purchasing logic and forecasts.

BENEFITS +

Fast, transparent comparisons and error-free strategic purchasing.

Competitor Benchmarking

Don’t chase the market. Anticipate it

Monitor competitor prices by category, SKU and geography, with pricing actions suggested.

Features

Data collection from multiple external sources.

Multi-stream competitor price analysis.

Actionable insights to adjust prices relative to the market.

BENEFITS +

Optimised margins, controlled opportunistic pricing and competitiveness without automatic price cuts.

Competitor Price Comparison

Instantly see where you’re losing margin

Collects, compares and interprets competitor prices and selling logic.

Features

Automated competitor price collection from pharmacy systems and networks.

SKU-level price analysis using Minsan, AIC and EAN codes.

Identification of critical price gaps and inefficiencies.

Priority lists of products to review or realign.

Recognition of “Best Price” logics and margin impact.

BENEFITS +

Greater competitive control, recovered margin and targeted interventions.

03 · BEST PRICE AND FORECASTING

Best Price Management

The best price, always

Integrates management systems to identify optimal prices based on market and stock.

Features

Automatic identification of the best price for single items or bundles.

Automatic updates in ERP/CRM systems.

Scalable, modular pricing logic.

BENEFITS +

Optimal prices, protected margins and fast, consistent decisions.

Price forecasting AI

Predict real demand, not just sales

Distinguishes real demand from observed sales, correcting shortages, substitutions and seasonality.

Features

Demand analysis based on clean, normalised, anomaly-free time series.

Integration of external data to detect shortages beyond company boundaries and automatic correction of stockouts and substitution rebounds.

Forecasting using time-series models (ARIMA, SARIMA, Prophet, LSTM).

Forecast accuracy metrics (MAE, RMSE, WMAPE).

Guardrails limiting the impact of exogenous variables on prices (±1–2%).

BENEFITS +

More stable demand forecasts, supporting planning, purchasing and inventory optimisation.

Optional Add-On (Pricing)

GenAI Pricing

The AI that optimises your prices. Private chat with automatic insights for immediate pricing decisions.

Natural-language chat trained on sales, cost and market data.

Instant answers on optimal prices, margins and profit opportunities.

Proactive suggestions based on demand trends, competitors and customer history.

ADVANTAGES+

Ultra-fast analysis and reduced decision latency.

Want to see CURIO in action?

With CURIO, pricing and inventory become strategic levers, not operational problems to chase.