Catalog: Revolutionizing B2B Sales Management for Mid-sized Companies

In the realm of commerce platforms, industry giants like Adobe Commerce and Salesforce Commerce Cloud dominate the landscape, catering to large enterprises processing millions of orders annually. 

However, for smaller companies with sales volumes ranging from $5 million to $100 million per year, finding a comprehensive solution tailored to their scale remains challenging.

Enter Catalog, a French startup on a mission to simplify B2B sales management across multiple channels with its innovative software-as-a-service (SaaS) platform. 

Unlike traditional commerce platforms, Catalog targets mid-sized companies that rely heavily on enterprise resource planning (ERP) systems for managing their operations.

Seamless Integration and Tailored Solutions by Catalog:

Catalog’s approach revolves around tight integration with existing tech stacks, particularly ERP systems, eliminating the need for redundant functionalities. 

Co-founder and CEO Julien Bellemare emphasizes the platform’s focus on complementing rather than duplicating the ERP’s capabilities, ensuring optimal user efficiency.

Multi-channel Sales Enablement:

Recognizing the diverse nature of B2B sales interactions, Catalog offers versatile solutions that accommodate various customer preferences. An intuitive portal facilitates direct product selection and pricing inquiries for clients preferring online transactions. 

Conversely, for customers accustomed to personalized service, the Catalog is a valuable companion tool for sales teams, enabling seamless access to product catalogs, order history, and pricing details during client engagements.

AI-powered Order Processing in Catalog:

One of Catalog’s standout features is its utilization of artificial intelligence (AI) models to streamline order processing. 

The platform automatically generates orders by scanning inbound emails and intelligently parsing freeform conversations, ensuring accuracy and efficiency.

The original email correspondence is preserved alongside the generated order for reference, maintaining transparency and continuity in communication.