Unlock the Challenges of B2B Integration and Ways to Overcome Them
In the present digital transformation era, organizations get to interact and transact with an overwhelming number of trading partners such as suppliers, customers, vendors, and other organizations. All these transactions certainly form the backbone of an enterprise.
As organizations have started to transact more, there is no way that they could employ manual processing tools for this. And so B2B integration software came into existence to empower business users electronically with different kinds of data, in various formats, across the trading partner ecosystem. Albeit business integration software offers a lot of benefits, there are some challenges that these solutions must overcome to beat the competition.
Discover the role of B2B integration services, associated challenges involved, and ways to resolve them.
Comprehending B2B Integration and Challenges Associated
Business users leverage B2B integration solution to digitalize and optimize multiple processes to be shared with their trading partners (including, suppliers, customers, and vendors) to streamline business transactions. It integrates data from multiple sources into a single unified dataset for analysis and usage. When users extract insights from this data, they use the information to make successful business decisions with ease and precision.
A typical B2B integration model invites a set of challenges. And ignoring them can impact organizations’ growth and rate of innovation. Here are some of the hurdles that companies might face while using a B2B integration software.
Onboarding Trading Partner: For organizations, onboarding a trading partner is challenging. To successfully build B2B integrations, organizations need to start by onboarding a trading partner faster.
In a particular business ecosystem, the number of trading partners can reach up to a few thousand. Every trading partner comes with a lot of configurations, mapping tools, business protocols, formats/schemas, database connections, notification trigger system, run-time logs, and more.
To map these configurations, business users need to focus on a lot of aspects. Every trading partner requires new configurations which, in turn, triggers the creation of new processes or rules as per the partner’s business transformation logic and business rules. Additionally, the business partners interpret the B2B standard different as per their defined communication protocol.
Organizations need users to engage with their trading partner ecosystems that turn onboarding more time-consuming and complex. When data takes a lot of time to get onboarded, sometimes even months, customers get a negative impression of the company. Not only this impact customer experiences (CXs) but also the company’s growth.
Unscalable B2B Integration: In this digitally-empowered environment, requirements are changing rapidly. This brings a change in application configurations between partners, which needs to be upgraded. The system has issues related to scalability and organizations must deploy solutions to drive the business forward.
Poor Data Mapping: Data mapping is one of the primary prerequisites for successful B2B integrations. It maps myriad different fields of file formats of different kinds of trading partners. It enables business users implement transformational logic to the mapped elements. Data mapping executes instructions on the basis of business rules. The majority of data mapping solutions takes immense time to map different data fields, and some of them are not precise. Such powerful technologies inhibit the data mapping processes, disturbing data transformations and data integrations. Technologies such as AI-powered data mapping can resolve these issues, making it much faster and accurate.
Outdated Integration Practices: B2B integration use a lot of time and resources, and use insightful information to make business decisions. These are often hand-coded without documentations. These solutions need technical expertise, as well as non-technical users, are not used properly.
To make these B2B integration solutions work with business requirements, they must take control of the existing infrastructure and map it with the particular partner’s interface with proper logic.
Resolving These Challenges with Self-Service Integration
Organizations can rely on self-service integration to get rid of these challenges and ultimately become easier to do business with. It enables business users build data integrations faster while freeing IT to focus on more high-value tasks. With features like AI-powered data mapping, pre-built application connectors, shared templates, and more, users can speed up the integration process and leverage information gathered to make successful business decisions, kickstarting revenue generation and growth.
This article does not necessarily reflect the opinions of the editors or the management of EconoTimes