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Streamline retail or ecommerce processes and increase productivity by deploying back-office AI and automation.
Enhance customer experiences and operational efficiency with tailored tech solutions.
Elevate your enterprise with our integrated AI and automation capabilities. We’ll expertly merge cutting-edge technologies with tailored services to deliver transformative solutions.
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.
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.
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.
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.
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.
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.
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.
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.
