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This is the second part of the article dedicated to the technical challenges of B2B ecommerce personalization. The first part was about business aspects of B2B personalization in ecommerce and the third part will cover a tour about Virto Commerce modules resolving personalization issues.
Business personalization challenges listed in Part 1 must be supported by the technical capabilities of the one of the b2b ecommerce solutions. Let’s call them technical challenges of the B2B personalization. For every personalization idea, you must have the tools to implement it.
For your convenience, a color legend in diagrams from Part 1 to 3 will help you link each listed challenge to the Virto Commerce module that effectively resolves it.
Among the technical challenges, two types can be distinguished: data management (catalog data and cache) and IT capabilities (24/7, high performance).
Challenges in B2B personalization
Data management challenges include catalog access restrictions, catalog data, personalized response and low cache readiness.
If you show personalized search results, prices, catalog, marketing offers, etc., effective caching would be required. This is the specificity of b2b ecommerce marketplace, because for a B2C store you can easily cache a price that rarely changes for a product. Moreover, for B2B it is difficult to cache because at any time a product could have a new price [even entered manually]. The caching implementation should also take into account that customers do not enter the store very often, most likely during business hours. Hence the need to support caching using a more complex algorithm.
Aspects of IT infrastructure and its availability are related to the second set of technical challenges of B2B personalization in ecommerce.
A large number of price levels are typical for B2B. The prices are personalized, so the supplier cannot guarantee a certain product costs xx euros or dollars to each customer. For each partner, or a group of partners, prices may be different and such a vast number of prices leads to the fact that they may not even be calculated according to formulas but there entered into CRM by the sales manager by hand. Therefore, the same product can have many price values and the ecommerce platform should support this variety.
Applications must perform 24/7 real time performance and be available 99.99+. B2B has peak hours during the day when customers mainly enter the online shop, so the peak loads cannot be spread over time like in a B2C store. When clients make purchases, peak loads are a challenge for an ecommerce platform. It must work with personalization algorithms without the ability to cache it.
Nevertheless, the ecommerce system must be reliable, and its unavailability can be very expensive in B2B. For example: a large customer who is not able to place an order due to system downtime is a terrible situation for the supplier. The platform has to be well maintained to work reliable from a technical point of view; there should be no downtime in the system [although it can be at service during nighttime].
Read a comprehensive list of B2B personalization challenges that have business or technical origin.
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