Smarter
Retail Decisions with AI-Driven Insights.
Trend detection and demand sensing with AI in retail help launch the right products at the right time. We are helping brands grow smarter, forecast trends, and stay competitive in a digital world.
Customer Engagement
Wastage Costs
Predictions Delivered
Revolutionising Retail using AI Technology
We transform this massive amount of data into intelligent solutions that improve operations, enhance customer experiences, and boost business performance.
AI Enhances Customer Experience
AI-powered customisation increased client satisfaction and engagement by up to 84%, resulting in considerably higher conversion rates and average order values.
AI enables smarter shopping experiences
Retailers who use AI-powered recommendation systems have noticed up to 34% increase in revenue due to increased customer segmentation and specific advertising.
Retailers quickly adopt AI
Over 75% of global retail companies have adopted AI to improve operations, personalise goods, and anticipate demand—an adoption rate that has increased 60% since 2023.
Employees welcome AI integration
According to a recent survey, 7 out of 10 retail workers feel AI solutions free them from repetitive duties, allowing them to focus on high-impact client engagement.
AI is Enhancing Retail
Our AI retail solutions help leading brands boost customer engagement, reduce waste, and enhance demand forecasting.
84%
Customer Engagement
34%
Revenue
Growth
75%
AI Adoption in Retail
70%
Employees Empowered
Explore Artificial Intelligence Solutions for Inventory, Personalisation, Forecasting & More
Discover how AI is transforming every aspect of retail operations, from inventory management to customer experience enhancement.
Demand Forecasting
AI-powered demand forecasting predicts future product demand based on previous sales data, industry trends, and external variables such as holidays or weather patterns.
Reduces inventory waste
Prevents stockouts and lost sales
Optimises supply chain planning
Improves revenue forecasting
Customer Behaviour Prediction
Analyse previous purchases, browsing trends, and interactions to anticipate what your customers will do next, enabling better purchase behaviour analysis and personalised marketing.
Increases customer retention
Improves personalisation and targeting
Boosts conversion rates
Automated Inventory Management
AI automates inventory tracking and replenishment by leveraging real-time data, barcode scanning, and predictive algorithms to monitor stock levels and make automatic reorders.
Reduces stock management costs
Prevents overstock and shortages
Increases operational accuracy
Saves time with automation
AI-Powered Product Recommendation
Leverage user activity, purchase history, and preferences to provide customised product recommendations, improving engagement and shopping experience.
Boosts average order value
Increases customer retention
Personalizes user experience
Encourages repeat purchases
Dynamic Pricing
AI-powered dynamic pricing adjusts product prices in real time based on demand, competition, stock levels, and purchasing patterns to maximise revenue.
Maximises revenue and profits
Responds to market changes instantly
Increases pricing efficiency
Encourages sales in slow-moving inventory
Chatbots and Virtual Assistants
AI chatbots handle customer queries 24/7, providing support, product information, and order updates while reducing customer service workload.
Delivers instant customer support
Reduces human agent workload
Improves user engagement
Supports sales with automated assistance
Why Choose Sensiwise AI?
Explore the full potential of AI in retail by developing customised approaches that improve customer experience and intelligent growth.
Retail-Focused AI Expertise
AI solutions designed specifically for retail and consumer experiences.
Expert in demand forecasting, computer vision, and generative AI.
AI-enhanced supply chain visibility and route optimisation.
Real-time inventory management and demand prediction.
Continuously optimised with real retail data.
Compliance-Ready & Secure AI
Built under GDPR, PCI-DSS, and industry best practices.
Model explainability and transparency for AI-driven decisions.
Data privacy approaches include privacy and consent management.
Regular updates for evolving ethical and compliance standards.
Secure handling of transactional and customer data.
Your Strategic AI Partner
AI readiness assessments and digital transformation strategy.
Custom integration with existing retail systems.
Ongoing optimisation and training for in-house teams.
Co-innovation workshops to build AI-first retail strategies.
End-to-end project ownership from pilot to scale.
From Aisles to Algorithms: An AI Success Story
Discover how the UK's big supermarket chain revolutionised their supply chain with AI-powered solutions.
The goal was to automate process optimisation by building a system that could interpret compliance guidelines, analyse operational efficiencies in real time, and proactively alert staff to risks or gaps in processes.
The Challenge
High wastage in perishable goods (around 32%)
Over £400K spent annually on excess inventory costs
Lack of real-time visibility across warehouse networks
Frequent stockouts in peak demand periods
Our Solution
Hybrid demand forecasting (Prophet + XGBoost)
Real-time supply chain visibility across 50+ locations
ML-driven automated stock management with CRM integration
Impact & Results
18%
Wastage Reduction
From 32% to 14%
98.6%
Shelf Availability
Up from 89%
3.2%
Forecast Accuracy
Improved from 11.7% MAPE
£350K
Wastage Reduction
Reduced from £400K to £50K
FAQs
Explore our FAQ to see how we simplify AI strategy, governance, security and deployment—helping organisations harness AI responsibly, manage risks and ensure ethical, compliant adoption.
We connect via secure APIs and event streams, syncing product, inventory, and customer data without disrupting workflows and rolling out in phases across sales channels and stores.
Popular AI applications include product recommendations, customer segmentation, chatbots for customer service, demand forecasting, in-store analytics, and smart inventory management.
Yes. AI analyses historical sales, market trends, and seasonal behaviour to predict demand precisely. This helps retailers manage inventory, reduce overstock or stockouts, and improve profitability.
AI dynamically adjusts prices based on demand, competitor pricing, stock levels, and customer behaviour. This enables smarter, real-time pricing that maximises profits and remains competitive.
Not necessarily. Many AI tools are now cloud-based and scalable, allowing even smaller retailers to adopt AI gradually, thus starting with one feature like recommendation engines or chatbots and scale later.