Retail AI Solutions

SolvedBy.Ai helps retailers improve margins and performance by improving operational accuracy and efficiency with advanced and powerful AI forecasting solutions that drive smarter, data-driven decisions.
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Retail AI Solutions
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How We Support Retail

Retailers don’t need heavy transformation programmes to unlock powerful intelligence. Our solutions act as a lightweight, system-agnostic AI layer that integrates seamlessly into your WFM, EPOS, ERP and BI tools. Yet the uplift in intelligence is material, giving you clarity on demand, labour, inventory, pricing and store operations with unprecedented precision.

This combination of minimal disruption and maximum intelligence allows retail teams to move faster, plan earlier and execute with more confidence to make significant improvements to their bottom line. Stores perform more consistently, decisions become cleaner, and financial results become more predictable.

Our Retail AI Solutions

Our AI Demand Forecasting models generate highly accurate forecasts down to SKU, store, day, and hour level. By incorporating promotions, seasonality, weather, events, price elasticity and local trading behaviours, retailers gain a forward-looking view of true customer demand. This helps ensure products are where they need to be, when they need to be there protecting sales while reducing waste and overstock.

In a retail setting, this gives trading, merchandising, and supply chain teams early visibility of where demand will actually land. Stock can be bought, allocated, and replenished based on store-level trading behaviour rather than historic averages, reducing lost sales in high-demand locations while avoiding excess inventory and reactive markdowns elsewhere.
Labour is one of retail’s biggest controllable costs and one of the biggest drivers of service and conversion. Our AI Labour Demand Forecasting builds a granular, store-specific labour demand curve by analysing historical sales, transactions, footfall, promotions, external factors such as weather, events, traffic and much more. This provides an accurate picture of required labour hour by hour, ensuring service is protected at peak and overspending is avoided during quieter periods.

For retailers, this closes the gap between labour budgets and reality on the shop floor. Hours are planned around deliveries, promotions, peak trading windows, and local demand patterns, allowing stores to protect service when it matters while stripping out habitual overstaffing during quieter periods that erodes margin.
Our AI Staff Scheduling solution creates fair, compliant and optimised rotas that align with demand forecasts, skill requirements, availability, colleague preferences and Working Time Directive rules. Retailers gain schedules that improve service, reduce admin for managers, and ensure the right skills are deployed at the right time.

Because the solution integrates directly with your existing WFM tools, it enhances rather than replacing your workforce management setup. Managers spend less time building schedules and more time leading their teams, while head office gains confidence that labour rules, fairness, operational needs and spend are consistently met across the estate.

In practice, this removes reliance on static rota templates and manager guesswork. Schedules are built around expected trading patterns, role requirements, and contract rules, reducing last-minute changes, overtime, and manager rework while giving store teams a rota they can realistically deliver against.
Opening hours affect labour cost, sales opportunity, profitability and customer experience, yet most retailers still set them based on history, not forecastable demand. Our AI Opening Hours Optimisation models evaluate local trading patterns, external factors, footfall curves, commercial outcomes, labour costs and profitability to determine when each store should open and close.

The result is a trading-hour strategy that contributes directly to EBITDA rather than eroding it. Retailers can optimise operating models across different formats, regions or dayparts, ensuring each store operates at its most financially effective rhythm.

For retail operations, this identifies where opening hours add value and where they quietly destroy margin. Stores can shorten low-value trading periods, extend hours where demand supports it, and adapt hours by location, season, or day of week — improving labour productivity without sacrificing sales.
By pairing demand forecasting with intelligent stock allocation and replenishment optimisation, retailers can achieve higher on-shelf availability while reducing excess inventory. Our solution ensures stock is placed where it will sell, minimising markdowns, avoiding unnecessary working capital ties, and improving full-price sell-through.

With SKU-level accuracy that reflects promotional uplift, local demand patterns and external influences, retailers can operate with confidence knowing inventory decisions are accurate, based on future-facing insight rather than historical assumptions.
Our AI Resource Allocation optimises the deployment of labour, stock, equipment and tasks across the store estate. It improves the alignment between strategic plans and operational execution, ensuring resources follow demand not historic habits.

Retailers use it to balance workload, reduce bottlenecks, and improve store efficiency while maintaining strong customer service. This is especially valuable for multi-format or regionally diverse estates where operational complexity is high.
Pricing decisions have direct, immediate impact on margin, volume, and category performance. Our AI Price Optimisation models analyse price elasticity, customer behaviour, competitor influence, promotions, and demand to recommend price moves that maximise profit without harming customer value perception.

With no disruption to existing pricing processes, retailers gain an intelligence engine that strengthens category performance, protects value perception and supports strategic margin goals.
Store teams juggle replenishment, service, picking, queue management, stock counts and more. Our AI Task Scheduling engine schedules tasks based on real demand, labour availability, task duration, operational priorities and factors that are important to your estate.

On the shop floor, this ensures the right work gets done at the right time with the labour available. This creates smoother, more predictable operations, reducing friction, improving productivity, and giving managers clearer visibility of what needs to be done and when. It also strengthens consistency across stores, ensuring brand standards are met without overwhelming teams.

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Why SolvedBy.Ai for Retail

We are your outsourced PHDs and data science team

We act as your outsourced PhD-level data science team, continuously building, testing, and improving decision-ready models that turn your retail data into measurable operational and EBITDA impact.

Enterprise-ready; store-friendly

Forecasts feed directly into existing tools, dashboards, planning systems, WFM platforms, BI tools. No need for system replacement.

World's largest library of forecasting algoritms and exogenous data sources

We ensure every prediction is built on the most accurate model, deep external demand intelligence, and relentless error reduction allow retail decisions on labour, availability, and pricing to move early enough to protect margin and cash.

Responsible, transparent AI

SolvedBy.Ai is certified to ISO 42001:2023 and ISO 27001:2022, our models are probabilistic models, our system explains the drivers behind each forecast, meeting the highest global standards in transparent and secure AI.

10:1 ROI pricing model

For every £1 invested, retailers deliver at least £10 in measurable value by improving availability, reducing markdowns and labour waste, freeing up working capital, and strengthening EBITDA performance.

The Outcomes We Deliver

More sales with less resources

When staffing, tasks, and inventory reflect real demand, stores convert more visits into transactions and reduce missed opportunities at peak.

Higher availability with less waste

Better forecasts mean the right stock reaches the right stores at the right time, increasing sell-through and reducing markdowns and shrink.

More consistent performance across the estate

Single-store heroes become the norm. Stores stop firefighting and operate predictably, reducing volatility and closing performance gaps.

Better margin protection

Retailers make accurate decisions on opening hours, promotional depth, and price changes, balancing margin, demand, and cost to protect the bottom line.

Clearer plans and faster execution

When every function works from the same forecasts and optimisation signals, plans become cleaner and stores execute with more confidence. Teams spend less time reconciling conflicting numbers and more time delivering what matters on the shop floor.

Better use of capital, better EBITDA

By aligning inventory, labour, pricing, and opening hours to forward-looking demand rather than historic assumptions, retailers reduce working capital tied up in stock and labour, lower markdowns and shrink, and protect full-price sales. The result is stronger margins, lower cost drag, and improved EBITDA.

A partnership built on ROI

We partner with retailers to deploy AI that connects demand, inventory, labour, pricing, and opening hours, improving availability, freeing working capital, and strengthening EBITDA across your estate.

Our pricing is outcome-led. We commit to a minimum 10:1 ROI, with every £1 invested delivering at least £10 in measurable commercial impact.
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FAQ

AI task scheduling analyses all tasks, employee profiles, shift data, and operational constraints, then evaluates millions of possible combinations to create the most efficient task plan. It determines who should do each task, in what sequence, and at what time, improving accuracy and consistency.

Traditional tools simply list tasks or create static rotas. SolvedBy.Ai’s task scheduler uses optimisation and machine learning to match tasks to people with far greater precision, considering skills, experience, performance speed, preferences, and workplace layout. It continuously learns and improves over time.

The system supports any repeatable or variable tasks, including replenishment, cleaning, maintenance, preparation, production, service tasks, operational routines, and more. If your teams complete tasks during a shift, the AI can schedule them.

Retail, hospitality, leisure, manufacturing, private healthcare, warehousing, and any shift-based operation benefit from automated task scheduling. The model adapts to different environments and operational workflows.

The solution reduces inefficiencies, eliminates unnecessary overtime, improves shift utilisation, and ensures employees complete tasks they are most efficient at, lowering labour cost without adding headcount.

Yes. Employees are assigned tasks aligned to their strengths and preferences, creating fairer workloads and reducing frustration. This leads to better engagement and smoother shift execution.

Absolutely. The system is designed for large, distributed organisations. It ensures consistent operational standards and performance across all sites, regardless of size or complexity.

Yes. SolvedBy.Ai handles configuration, model setup, data integration, and implementation. Your teams receive full support, and the solution integrates with existing systems without requiring additional technical resources.

You provide task lists, durations, priorities, rules, shift times, employee skills, preferences, performance metrics and historical scheduling data. The model also uses workplace layout, compliance rules, and environmental factors to achieve accurate results.

Most organisations see measurable gains in productivity, labour efficiency, and workflow consistency within weeks of going live. The model continues to improve as more data is collected.

Yes. Compliance rules, task deadlines, certifications, and safety requirements are built into the scheduling engine to ensure critical tasks are always completed correctly and on time.

You can request a call with our team. We’ll assess your operational needs, map your workflows, and show how the AI Task Scheduler can improve efficiency, consistency, and cost performance across your organisation.

Ready to talk AI for Retail?

Let’s explore how AI forecasting and decision-intelligence can strengthen your retail margins, availability, labour efficiency, and estate-wide performance.
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Charlotte Street, Edinburgh,
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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
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