AI Price Optimisation

Pricing intelligence at scale
Request a Call
Brochure Download
AI Price Optimisation
AI-Powered Price Optimisation
Set every price, promotion, and discount for maximum profit and demand. We provide AI intelligence, analysing hundreds of factors to recommend the right price for every product, channel, location and time period.

What is AI-Powered Price Optimisation?

AI Price Optimisation determines the right price or promotion for every product by analysing how customers respond to different pricing conditions.

The AI learns from your own data and market dynamics, adapting pricing decisions to real-world behaviour across products, locations, and time. It balances demand, margin, and customer sensitivity to maximise profit and maintaining sales performance.

How it can help your business

Protect margin and profit

AI identifies the price that maintains demand while increasing overall profitability.

Price confidently across products and sites

Hundreds of internal and external factors are analysed to reflect local demand, seasonality, and competition, not one-size-fits-all rules.

Use promotions strategically

The model distinguishes which discounts genuinely drive incremental sales and which erode value, helping teams focus on effective campaigns.

Stay aligned with market movement

As competitor activity, events, or input costs change, pricing recommendations are refreshed on your planning cycle to stay relevant and defensible.

Built around your business reality

Each implementation is bespoke, designed around your categories, data quality, and decision processes.

How it works

Extensive forecasting libraries

We combine an extensive library of time-series forecasting algorithms with customer and third-party data to create a deeper, more comprehensive pricing model.

The AI evaluates not only how a single SKU or site performs but also how products and locations influence one another.

Model families that learn from each other

Instead of maintaining thousands of isolated models, the solution groups similar products and sites into 20–30 intelligent model families.

Each family shares learning across comparable items, improving accuracy while reducing complexity.

Advanced algorithmic architecture

Our library includes Deep Non-Parametric Time Series Forecasts, Long Short-Term Neural Networks, and other algorithm types.

This allows the AI to compare like-minded models and SKUs based on how closely their historic performance and underlying signals align.

Learning through similarity

By understanding how one product or region behaves relative to another, the AI transfers insight efficiently across the network, achieving stronger generalisation and faster optimisation.

Comprehensive decision intelligence

Because the model learns from all products and sites simultaneously, each recommendation reflects the context of the wider estate, producing consistent, balanced pricing decisions across every channel.
Trusted by leading organisations

Unmatched precision in five simple steps

1

Gather

We organise historical sales, pricing, stock levels, availability and promotional data, along with external market and event information.

Enrich

Competitor activity, weather, holidays, and behavioural factors are layered in to strengthen the signal.
2

Model

Time-series and neural-network algorithms analyse how prices have performed and how customers responded.
3

Simulate

The AI recommends price points and promotions that balance demand, scarcity, margin, and customer sensitivity.
4

Improve

Each cycle feeds results back into the model so it learns continuously and adapts to market change.
5

Case Studies

View all Case Studies

A partnership built on ROI

Our pricing is simple: we ask for a 10:1 ROI. That means every £1 you invest delivers at least £10 back in measurable value.

SolvedBy.Ai works hands-on with every client, visiting sites, reviewing data quality, and tailoring the model to reflect real operating conditions.

No generic templates, no assumptions, just measurable, data-driven pricing decisions that evolve with your business.
Request a Call

FAQ

The model evaluates sales, promotions, and external factors such as competitor pricing, weather, and events. It learns from historical performance to recommend the price that maximises profit without damaging demand.

Dynamic pricing changes prices frequently based on a few simple rules, like demand or inventory. AI Price Optimisation uses more complex modelling, incorporating customer sensitivity, competitor actions, and behavioural data, to optimise, not just react.

It analyses sales data, promotions, competitor prices, customer demand patterns, weather, events, and other external influences that impact buying behaviour.

The model learns how different customer groups react to price changes and adjusts recommendations to reflect real buying behaviour. It ensures prices feel fair and protects long-term loyalty.

Yes. The approach is designed for any industry where pricing affects demand and profitability, including retail, hospitality, leisure, and manufacturing.

Traditional models rely on averages, rules, or manual analysis. SolvedBy.Ai’s approach learns from real data, adjusting to changing conditions and customer behaviour automatically.

By understanding how price affects sales, the model identifies where small changes can protect demand while improving margin, achieving equilibrium between profit and volume.

Yes. By learning customer sensitivity, it recommends prices that maximise profit while maintaining customer trust and perceived fairness.

The ROI comes from higher margins, reduced over-discounting, and smarter promotions, replacing assumptions with data-driven pricing.

Yes. By improving margin control and pricing accuracy, AI pricing contributes directly to EBITDA and sustainable profit improvement.

Yes. The automation and intelligence remove the need for manual data analysis and repetitive pricing tasks, freeing teams for strategic work.

It measures how changes in price affect demand across different SKUs, stores, and time periods. Over time, it builds a clear picture of customer elasticity at every level.

SolvedBy.Ai uses an extensive library of time-series forecasting algorithms, including Deep Non-Parametric Time Series Forecasts, Long Short-Term Neural Networks, and other model types.

A simulation predicts what might happen. An optimisation model actively finds the price that delivers the best outcome, balancing profit and demand.

By grouping similar products and locations into 20–30 model families, each learns from the others, improving accuracy across all SKUs without requiring thousands of separate models.

Yes. It learns relationships between products, categories, and sites, allowing insights to transfer across the estate for consistent, scalable pricing decisions.

With every pricing cycle, the model retrains using updated data, adjusting to reflect changes in customer behaviour, competitor actions, and external influences.

Yes. Teams can run scenario tests to compare outcomes of different prices or promotions before implementation.

Historical sales, transactions, and promotional data form the core, supported by external inputs like competitor pricing, weather, and events.

Yes. SolvedBy.Ai integrates with existing pricing, ERP, or POS systems to feed insights directly into your workflows.

Yes. External data is a key input, improving accuracy by reflecting real-world conditions.

Models are refreshed on your pricing cycle, it can be hourly, daily, weekly, monthly, or quarterly, to stay aligned with current performance.

All data is handled under strict information security controls and used only for agreed modelling purposes. SolvedBy.Ai is certified to ISO 42001:2023, ISO 27001:2022 and Cyber Essentials Plus, reflecting our commitment to safe, transparent, and responsible AI.

Yes. Recommendations are fully explainable and can be reviewed or overridden before implementation.

Pricing outputs are tested against historic and live data to ensure they align with performance expectations and business rules.

Yes. The model can be configured to reflect regional, brand, or channel-specific pricing frameworks.

Yes. AI pricing supports both channels, ensuring consistency and optimisation across physical and digital touchpoints.

Yes. Brand and cultural considerations can be embedded into pricing rules to ensure recommendations remain aligned with company values.

Every recommendation includes clear reasoning, showing the factors that influenced it and their expected impact.

Yes. Fairness and transparency are built into model design, ensuring prices remain compliant and responsible.

Rule-based software follows predefined conditions. SolvedBy.Ai’s models learn from data, improving continuously to deliver more accurate, dynamic recommendations.

Because they group similar SKUs into intelligent families, learn across locations, and use diverse forecasting algorithms, enabling richer, more connected insights.

Yes. It can work seamlessly with demand forecasting and inventory optimisation models to align pricing, stock, and sales strategy.

It evaluates past promotions and regional demand patterns to recommend campaign timing, depth, and duration that protect margin while driving volume.

It enables faster, evidence-based pricing decisions, improving responsiveness to market conditions and outperforming competitors still relying on manual processes.

Retail, hospitality, leisure, and manufacturing, any sector where price directly affects sales and margin.

Revenue, margin improvement, price elasticity accuracy, and promotional efficiency are key measures of success.

Yes. The model evaluates potential scenarios to predict how a price change or discount will affect sales and margin.

By setting fair, consistent prices and avoiding erratic changes, AI builds customer trust and supports long-term loyalty.

TL;DR

SolvedBy.Ai’s AI Price Optimisation uses advanced forecasting and behavioural models to set the right price and promotion for every product and location.
By learning from sales history, competitor behaviour, events, and external data, it builds an intelligent pricing framework that maximises profit, protects demand, and adapts as markets change.
Scotia Bank House, 6 South
Charlotte Street, Edinburgh,
Scotland, EH2 4AW
AI Solutions
AI Demand Forecasting AI Labour Demand Forecasting AI Staff Scheduling AI Opening Hours Optimisation AI Footfall and Visitor Forecasting AI Inventory Optimisation AI Predictive Maintenance AI Resource Optimisation AI Price Optimisation AI Budget Forecasting AI Shift Create AI Task Scheduler
Industries
Retail CPG Supermarkets Hospitality Leisure Manufacturing Private Healthcare Contact Centres
About Us
Our Approach About Us Contact Us
Resources
Blog News The AI Business Leadership Podcast Case Studies Whitepapers Events
© 2026. SolvedBy.Ai. Solved By Ai Ltd. All Rights Reserved.

Privacy Policy | Cookie Policy