How Artificial Intelligence is Changing B2B Commerce

[shukla7789]

modern trucks with forklifts written AI Commerce
Today, B2B (business-to-business) commerce is at an important transition point. Historically, this sector has always been more complex than B2C (business-to-consumer), requiring specific solutions for relationship management and sales processes. Currently, there are three main solutions that dominate this scenario:

CRM (Customer Relationship Management) : mainly used for prospecting new customers, helping to manage contacts and opportunities.
Sales force : a solution used by salespeople, whether internal or independent sales representatives (RCAs), to manage the customer base, focused on repurchasing.
B2B ecommerce : which allows customers to make self-service purchases, usually also focused on repurchasing.
These solutions work well, each within its own context, but what can really change the B2B game is the integration between them and the introduction of artificial intelligence at each stage of the process. We are talking about the emerging concept of AI Commerce , a hybrid and intelligent solution that unites sales force and B2B ecommerce, taking the repurchase experience to a new level.

In this article, we’ll explore how AI is set to revolutionize B2B guatemala whatsapp database in three distinct phases: support, proactivity, and empowerment. We’ll see how AI can transform salespeople’s day-to-day lives, simplify operational tasks, and create growth opportunities.

Summary
The Revolution in Three Phases: How AI Will Change B2B Commerce
1. Support: the co-pilot of the seller and the customer
2. Proactivity: AI that anticipates and suggests
3. Autonomy: the era of complete automation
AI Commerce as an omnichannel solution
Other applications of AI in B2B commerce
The future is now
The Revolution in Three Phases: How AI Will Change B2B Commerce
The change in purchasing behavior in B2B commerce will be gradual and phased. First, AI Commerce will arrive as a support tool and, as it gains functionality and contexts, artificial intelligence will increasingly automate operational processes. Learn about the 3 phases:

1. Support: the co-pilot of the seller and the customer
In the first phase of the revolution, artificial intelligence comes in as a true co-pilot for both salespeople and customers. Here, the role of AI is to act as an efficient assistant, reducing operational activities and making sales work much more agile.

Imagine a salesperson who has a 24-hour assistant who can interpret data, upload spreadsheets, and assemble orders. AI can:

Train yourself using company-specific data and content to become increasingly efficient in predicting demands and guiding salespeople.
Receive a spreadsheet of products and quantities , interpret it and automatically configure an order within the platform.
Respond to voice commands to place orders hands-free. Perfect for those busy times!
Generate complex analyses in a matter of seconds . For example, the ecommerce manager or sales manager can ask about the average ticket of sellers by region, or any other analysis, and the AI ​​generates a dashboard instantly, facilitating decision-making based on accurate data.
Create promotional slides for products and new arrivals, allowing the seller to quickly share special offers with customers.
Salespeople can ask for suggestions on approaches and ask AI to review texts before communicating with the customer.
In this way, AI offers a much more fluid experience, not only making the seller's job easier, but also ensuring that the customer has access to the best offers and opportunities at the right time.

2. Proactivity: AI that anticipates and suggests
The next step in the B2B AI revolution is when it starts to become proactive . It’s not just about responding to commands; it’s about anticipating the needs of both salespeople and customers. At this stage, AI is an assistant that provides valuable insights and helps improve sales performance.

Complementary product suggestions : When a customer places an order, AI can suggest products that make sense within the context of the purchase. For example, if a customer purchases a certain product, AI may suggest an accessory or add-on that has a good resale margin.
Review orders and identify gaps : AI can review orders to identify product shortages. Maybe a customer always buys an item at this time of year, but this time they forgot. AI suggests it, avoiding stockouts and ensuring a better shopping experience.
Monitoring purchasing behavior : AI can alert the salesperson when it notices that a customer is deviating from their usual purchasing pattern. It could be that volume is decreasing, or that certain items are no longer being ordered. This allows the salesperson to act quickly to understand the situation and avoid losing the customer.
These proactive actions not only ensure customer satisfaction, but also increase the value of sales, helping the salesperson to be increasingly consultative.