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Empowering retail success with AI and automation

Streamline retail or ecommerce processes and increase productivity by deploying back-office AI and automation.

AI adopters that have a significantly higher profit margin due to proactive AI strategies
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Cost reduction with AI-enabled candidate screening
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Level of improvement in inventory scheduling among early adopters of AI-enabled supply chain management
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Revolutionising Retail and Ecommerce with Advanced Technology

Enhance customer experiences and operational efficiency with tailored tech solutions.

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AI/Gen AI/Machine Learning

Employ predictive analytics for inventory management and customer purchasing behaviour, enhancing product recommendations and optimising stock levels.

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Automate order processing and payment reconciliation, reducing manual errors and speeding up checkout processes.

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Systems Integration

Integrate e-commerce platforms with ERP and logistics systems for real-time data accuracy and improved order fulfilment.

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Deploy AI-driven chatbots for customer service to handle inquiries, track orders, and provide personalised shopping advice.

Use Cases in Retail

Elevate your enterprise with our integrated AI and automation capabilities. We’ll expertly merge cutting-edge technologies with tailored services to deliver transformative solutions.

Personalised Recommendations

What It Is: AI-driven personalised recommendations tailor product suggestions to individual customers based on their browsing and purchasing history.

Problem It Solves: Customers often face overwhelming choices, leading to decision fatigue and potential loss of sales.

How It Would Be Applied: By analysing customer data, AI algorithms predict and display products that align with individual preferences on the website or app.

Business Impact: This enhances the shopping experience, increases customer satisfaction and engagement, and boosts sales by encouraging additional purchases.

Inventory Management

What It Is: AI-powered inventory management systems track stock levels and predict future inventory needs using data analytics.

Problem It Solves: Retailers struggle with maintaining optimal inventory levels, leading to stockouts or overstock situations.

How It Would Be Applied: Implementing sensors and AI software to monitor stock in real-time and forecast demand accurately.

Business Impact: Reduces storage costs, prevents lost sales due to stockouts, and minimises waste from overstock, thus improving overall profitability.

Chatbots and Virtual Agents

What It Is: AI chatbots and virtual assistants handle customer inquiries and support tasks automatically.

Problem It Solves: High volumes of routine customer inquiries can overwhelm support teams, leading to delayed responses and poor customer service.

How It Would Be Applied: Deploying AI chatbots on websites and apps to answer common questions and resolve simple issues instantly.

Business Impact: Enhances customer satisfaction through quick response times, reduces the workload on human support staff, and allows them to focus on more complex issues.

Price Optimisation

What It Is: AI-based price optimisation adjusts product prices dynamically based on various factors like demand, competition, and market trends.

Problem It Solves: Static pricing strategies can lead to lost revenue opportunities and reduced competitiveness.

How It Would Be Applied: Using AI algorithms to analyse market data and automatically adjust prices to maximise sales and profits.

Business Impact: Ensures competitive pricing, maximises revenue, and improves profit margins by responding swiftly to market changes.

Supply Chain Automation

What It Is: AI-driven automation in supply chain operations enhances efficiency from order processing to delivery logistics.

Problem It Solves: Manual supply chain processes are prone to errors, delays, and inefficiencies.

How It Would Be Applied: Implementing tools to automate tasks like order tracking, inventory management, and logistics coordination.

Business Impact: Reduces operational costs, minimises errors, accelerates delivery times, and improves overall supply chain reliability and performance.

Customer Sentiment Analysis

What It Is: AI tools analyse customer feedback from various sources to gauge sentiment and preferences.

Problem It Solves: Understanding customer sentiment can be challenging due to the vast amount of feedback from multiple channels.

How It Would Be Applied: Using natural language processing (NLP) to analyse reviews, social media posts, and surveys to extract insights.

Business Impact: Provides valuable insights for improving products and services, enhances marketing strategies, and fosters stronger customer relationships by addressing concerns and preferences effectively.

Predictive Maintenance for Retail Equipment

What It Is: AI-driven predictive maintenance monitors retail equipment (e.g., POS systems, refrigeration units) to predict and prevent failures.

Problem It Solves: Unexpected equipment failures can lead to downtime, lost sales, and costly repairs.

How It Would Be Applied: Using IoT sensors and AI algorithms to continuously monitor equipment performance and predict when maintenance is needed.

Business Impact: Reduces downtime and maintenance costs, extends the lifespan of equipment, and ensures smooth retail operations, ultimately improving customer satisfaction and profitability.

Case Study

Ocushield, a large online retailer, faced significant inefficiencies with manual processing of purchase orders from PDFs, leading to excessive time consumption and potential for error. To streamline this process, Fliweel.tech introduced Flidocs, an AI-powered document processing solution specifically trained to handle Ocushield’s needs. The ML model was developed to automatically extract key data from PDFs and integrate this information directly into Google Sheets for review, before sending it to QuickBooks for invoice creation.

The implementation involved collecting data to train the model, ensuring accurate data recognition and extraction, and integrating seamlessly with Ocushield’s existing systems. The result was a 30% reduction in processing time, significantly improving accuracy and efficiency in order handling. This automation not only sped up invoice creation but also freed up staff to focus on more strategic tasks, enhancing productivity across the business.

By deploying Flidocs, Ocushield not only streamlined their operations but also positioned themselves for better scalability and customer service, demonstrating the impactful benefits of AI in optimising traditional business processes.

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