The client leveraged D&B’s trade and data cloud insights to identify key exporters, importers, and shipment volumes at targeted Indian ports. This enabled them to prioritize potential clients and improve decision-making for their new Freight Forwarding service.?
The organization encountered several operational and strategic challenges while preparing to launch its new Freight Forwarding service. Firstly, it lacked visibility into the specific Indian ports that would be most beneficial to target, making it difficult to plan effectively. Secondly, the company struggled to forecast the type and volume of containers required, which is critical for resource allocation and cost efficiency. Lastly, it faced difficulties in identifying and reaching the right exporters and importers, which hindered its ability to build a strong customer base and tailor its offerings to market demand.?
The organization lacked robust internal forecasting tools and data analytics capabilities, making it difficult to accurately predict the types and volumes of containers required for their new Freight Forwarding operations. This created uncertainty in planning and resource allocation.? ?
Externally, the organization struggled to identify and connect with the right exporters and importers operating through specific ports, limiting their ability to effectively position their services and compete in a market dominated by established players.?
Dun & Bradstreet (D&B) supported the company by leveraging its Trade Data and Data Cloud to identify shipment volumes, key exporters and importers, and prospective businesses operating through targeted Indian ports. This enabled the company to prioritize outreach to 750–800 relevant entities and connect with the right decision-makers for effective market entry.
Product
Sales & Marketing Solutions, Analytics
Industry
Automobile
Function
Intelligent Prospecting