2 – Gartner, 2021
As the B2B sector digitizes, the role of guided selling is evolving, too. New AI and technologies are helping businesses in Morocco and other parts of the world to nurture customers down the sales funnel with more personalized experiences. Here we explore some of the solutions that could help transform your business' B2B sales strategy.
What is B2B guided selling?
B2B guided selling is a strategy that leverages technology, data, and expert-driven recommendations to help buyers make informed purchasing decisions.
It’s no secret that a successful B2B sales strategy involves a high degree of personalization. Guided selling promotes this by using AI-driven data analytics tools to actively guide prospects through the buying process to a curated selection of products. They are no longer overwhelmed with excessive volumes of choice; instead they are delivered a streamlined customer experience that increases their chances of returning to the business. For example, in Morocco a packaging supplier in Casablanca can use AI-guided selling on its B2B portal to analyze a cosmetics exporter’s needs in Agadir and recommend the most suitable eco-friendly bottle sizes, labels, and bulk packaging options instead of showing its entire catalog.
As the B2B sector digitizes, guided selling tools can be applied to self-serve customer portals or used in tandem with human interaction.
Benefits of B2B guided selling
Personalized customer experiences
According to research firm Gartner1, 86% of B2B customers expect companies to be well-informed about their personal information during interactions. Guided selling uses AI and analytics to tailor recommendations based on customers' past behaviors and preferences, ensuring they receive highly personalized solutions. For example, in Morocco a B2B office furniture supplier in Casablanca can use guided selling to recognize that a hotel chain in Marrakesh previously ordered luxury wooden desks, and automatically recommend matching chairs, conference tables, and room décor sets tailored to their brand style and purchasing history.
Increased conversions
B2B guided selling removes friction and “decision fatigue” from the customer journey, helping buyers to make informed choices quicker. This increases their likelihood of completing the sale. Furthermore, the data capabilities of guided selling tools maximize order value through intelligent cross-selling and upselling.
Enhanced competitiveness
As of 2026, industry estimates suggest that around 80–85% of B2B sales organizations have integrated guided selling tools into their traditional sales processes, showing a steady rise from Gartner’s 75% forecast for 2025. Businesses increasingly rely on AI-driven personalization to improve buyer engagement and conversion rates to better connect with customers and drive conversions. Leaning into guided selling will help your business keep up.
Seamless omnichannel sale
Though B2B e-commerce is growing, many businesses still use sales reps in some capacity, too. Smart guided selling solutions ensure a consistent buying experience across all touchpoints, enhancing engagement by providing personalized recommendations across all.
The growing role of AI in B2B sales
AI-driven solutions transform the B2B sales strategy by analyzing customer data and delivering personalized recommendations, insights, and support. Below are some examples.
A personalized approach
- AI analyzes a buyer’s company size, industry, past interactions, and purchase history to provide highly relevant recommendations.
- Dynamic content personalization ensures that prospects receive case studies, product demos, and marketing materials tailored to their unique needs.
- Automated email campaigns and chatbots can adjust messaging based on a prospect’s behavior and preferences, improving engagement.
For example, in Morocco if a textile exporter in Tangier repeatedly visits a logistics SaaS platform and downloads content about EU customs automation, AI can detect this interest and automatically send them a personalized case study on how Moroccan textile businesses reduced shipping delays to France by 30%.
Data-driven insights
- AI processes vast amounts of customer data to identify patterns, preferences, and potential buying triggers.
- Predictive analytics help sales teams forecast customers’ needs and proactively offer solutions.
- Competitive analysis tools compare customers’ interests with market trends, helping refine product positioning and value propositions.
For example, in Morocco a supply chain software provider in Casablanca can use AI to analyze sales calls from logistics firms in Tangier, detecting phrases like “customs delays at port” or “export tracking issues,” and then prioritize those high-intent leads with tailored solutions for shipments to Spain and the EU market.
Consultative selling
- AI assists sales reps in shifting from transactional sales to a consultative approach by providing deep insights into customers’ pain points.
- Virtual assistants can recommend conversation starters, industry-specific solutions, and real-world success stories to build trust.
- AI-powered CRM systems suggest the best follow-up strategies to nurture leads effectively.
For example, a cybersecurity firm can use AI chatbots to ask website visitors about their current security challenges. If a visitor expresses concerns about compliance, the bot connects them with a sales rep who specializes in compliance solutions.
AI-powered assistance
- Real-time AI guidance provides instant recommendations to sales reps during calls, meetings, or email interactions.
- Chatbots and virtual assistants can answer customer queries 24/7, ensuring continuous engagement even outside business hours.
- AI-driven automation streamlines administrative tasks, such as lead qualification, scheduling follow-ups, and managing customer records, allowing sales teams to focus on relationship-building.
For example, a cloud solutions provider can use AI to equip sales reps with the most relevant product demos in real time, ensuring an engaging conversation with prospects.
Four B2B guided selling best practices
These are strategies your business can lean into to enhance the customer buying experience and increase conversions.
1. Prioritize personalization
As we’ve touched upon, B2B buyers truly value personalized experiences. Here’s a couple of examples:
Use AI-driven recommendation engines. These analyze vast amounts of data to provide relevant product or service suggestions. For example, they aggregate data from CRM systems, purchase history, website behaviour, and sales interactions, identifying patterns in customer preferences. Your business can use these insights to curate customized product selections for buyers.
Customize pricing. Price negotiation has long been a big part of B2B sales – this doesn’t have to be lost as transactions move online. By leveraging real-time customer data, AI-driven systems can adjust pricing and offer tailored discounts based on factors like customer history, order volume, industry trends, and market demand.
2. Maintain a consultative selling approach
B2B sales have traditionally been built on carefully nurtured, long-term sales relationships. Buyers prefer trusted advisors who solve their challenges rather than push products, and this can be supported with guided selling:
- Train sales teams to use guided selling tools for deeper customer discovery and problem-solving.
- Provide AI-driven insights that help sales reps recommend solutions based on the customer’s specific challenges. For example, in Rabat, a B2B solar energy supplier can use guided selling tools to help its sales team understand a factory in Casablanca struggling with high electricity costs, then recommend the most suitable solar installation package using AI-driven insights and interactive cost-savings comparisons.
- Offer interactive product comparison tools to help customers make informed decisions.
3. Optimize for an omnichannel experience
B2B buyers often interact with multiple touchpoints before making a decision. Ensuring they have a seamless experience across all channels is key:
- Ensure guided selling recommendations remain consistent across your website, email, chatbots, and sales calls.
- Use a centralized CRM to sync customer interactions and preferences across all platforms.
- Use AI-driven chatbots and automated recommendations to assist with initial inquiries but route complex queries to human sales reps.
4. Ensure ethical AI & data privacy compliance
Much of guided selling involves scraping and analyzing large amounts of customer data. This brings with it ethical and privacy concerns, which your business must consider if it is to build trust and avoid regulatory issues:
- Implement clear consent policies for data collection to your customers.
- Ensure you comply with key global data privacy regulations like GDPR (General Data Protection Regulation.) For example, in Casablanca, a B2B e-commerce platform collecting customer browsing and order data from exporters in Tangier must obtain explicit user consent under local data protection rules aligned with GDPR principles before using AI-driven guided selling to recommend products.
As your B2B business continues to scale and digitize, guided selling will help you to enhance sales, improve customer relationships, and maintain a competitive edge. Over time, and boosted by machine learning and predictive analytics, you can continually optimize your sales process for maximum results.
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