The AI Advantage: How Artificial Intelligence is Revolutionising B2B eCommerce

Artificial intelligence (AI) is revolutionising B2B eCommerce by delivering transformative benefits across all aspects of business operations, helping UK-based trade businesses stay competitive.

This article explores how AI enhances efficiency, personalises customer experiences, optimises supply chain management and provides market insights, whilst providing actionable strategies to leverage AI for driving growth in B2B eCommerce.

1. Enhancing Search Results and Personalised Recommendations

According to The Pragmatic Institute, the global leader in product, data and design training, AI significantly improves site search experience and product recommendations, leading to higher customer satisfaction and increased sales.

AI-Driven Search Tools: AI tools such as chatbots and image recognition can be used to streamline the search process. Such functionality can enable buyers to find the products they need quicker that ever before, without manually browsing extensive catalogues. AI chatbots understand natural language queries and provide precise results, enhancing user experience and operational efficiency.

Personalised Recommendations: AI can also be implemented to analyse previous purchase data and user behaviour to recommend products tailored to individual buyers. This personalisation drives cross-selling and upselling, increasing average order values and customer loyalty. According to global management consultants McKinsey & Company, Amazon's AI powered recommendation engine, already, attributes up to 35% of its sales to personalised suggestions.

Case Study /

JT Dove

JT Dove, a leading independent builder's merchant in the North of England, used AI to enhance their eCommerce site's scalability and flexibility. To match high in-store revenue, they integrated Algolia's 'AI Recommendations' for an optimised site search. This feature uses behavioural cues to suggest items, displayed in carousels on product pages and as Frequently Bought Together (FBT) items in the add-to-basket modal. Integrated with Peracto, this solution showcases JT Dove’s extensive product catalogue, driving engagement and sales by tailoring product recommendations to buyer behaviour.

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Case Study /

JT Dove

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2. Optimising Supply Chain Management

Global technology giant IBM, confirms that AI is already transforming the customer journey in commerce, by providing accurate predictions and real-time data analysis to enhance supply chain efficiency.

Predictive Analytics: Businesses are using AI to analyse historical data, helping them to better manage inventory levels and reduce the risks associated with under or overstocking by more accurately predicting demand. This improved forecasting ensures companies consistently meet customer demand whilst managing inventory costs more efficiently.

Automation: AI automates routine supply chain tasks, such as order processing and inventory management, allowing staff to focus on strategic activities. This automation reduces human error, speeds up processes and lowers operational costs.

Real-Time Monitoring: AI systems provide real-time visibility into supply chain operations, identifying potential disruptions and enabling proactive mitigation strategies. This transparency helps maintain a smooth supply chain and enhances supplier relationships.

3. Leveraging Real-Time Market Data

In their article ‘The Importance of AI in B2B eCommerce’ The Pragmatic Institute describes how AI can provide businesses with timely and accurate market insights, crucial for staying competitive in a dynamic environment.

Dynamic Pricing: AI-driven pricing software can adjust prices in real-time based on market conditions, competitor pricing and demand fluctuations. This dynamic pricing strategy ensures optimal pricing, maximising revenue while remaining competitive.

Competitive Analysis: AI tools can provide continuous monitoring of competitors' activities and market trends, providing businesses with actionable insights. This ongoing analysis helps companies adapt quickly to market changes and maintain a competitive edge.

4. Improving Internal Integration and Efficiency

A recent survey of business managers and engineers, involved in AI adoption for B2B marketing activities, highlighted the importance of better AI integration across business departments, enhancing overall operational efficiency including:

Consistent Data Sharing: AI can help to ensure that all departments within a company have access to consistent and up-to-date information. This uniformity facilitates better decision-making and coordination across various functions, such as sales, customer service, and inventory management.

Automating Routine Tasks: AI automates repetitive tasks, freeing up employees to focus on higher-value activities. For example, AI can handle data entry, order processing, and customer queries, improving productivity and reducing operational costs.

5. Building Trust and Enhancing Security

The successful implementation of AI relies on maintaining consumer trust through secure and transparent practices.

Data Security: AI enhances data security by detecting and preventing fraudulent activities. By using machine learning algorithms IBM suggests that the ability to identify unusual patterns and flag potential security breaches, has been transformative in protecting sensitive business and customer information.

Transparency: Transparent AI practices, where customers understand how their data is used, build trust and encourage adoption. IBM says that prioritising ethical AI use and ensuring compliance with data protection regulations is imperative to maintain customer confidence.

6. Strategic Business Model Expansion

AI enables businesses to explore new business models and expand their market reach.

Marketplaces and Platforms: AI facilitates the creation of marketplace platforms that efficiently connect buyers and sellers. These platforms leverage AI algorithms to match supply and demand, providing a seamless experience for all participants.

New Commerce Forms: AI supports innovative commerce models such as voice commerce and experiential commerce, offering personalised and interactive buyer experiences. These models cater to evolving buyer expectations and can open new revenue streams.

Case Study /

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Case Study /

JT Dove

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In conclusion, AI is set to revolutionise B2B eCommerce by enhancing operational efficiency, personalising customer experiences, optimising supply chain management and providing real-time market insights. For mid-market UK-based trade businesses, leveraging AI can drive significant competitive advantages and growth. By integrating AI thoughtfully and transparently, businesses can build trust, increase customer loyalty and achieve long-term success in the rapidly evolving eCommerce landscape.

Many senior business stakeholders are now considering how they can invest in AI to ensure their company is well-positioned to capitalise on its transformative potential in B2B eCommerce.

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Reach out today for a free consultation and find out how 9xb can help you to accelerate the transformation of B2B eCommerce for your business, today.

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paper aeroplane

Ready to get started?

Get in touch

Reach out today for a free consultation and find out how 9xb can help you to accelerate the transformation of B2B eCommerce for your business, today.