Content Llama is a startup that provides a “content configuration technology” service that automates the collection, configuration, and delivery of product content for e-commerce retailers.

Basically Content Llama gets the images for different products from Brands and builds a sequence of product images that will be more appealing for potential buyers.

Once those sequences of images are generated they are available to be distributed to merchants so the image sequences can be shown in their e-commerce platforms.

The value proposition of Content Llama - offering retailers standardised product images for display when selling online - is time consuming and difficult to automate. The Content Llama service gave them a competitive edge but their previous process for delivering the service was very manual and therefore prone to error and not scalable. Spark was engaged as an innovation partner to automate part of the process with AI, and facilitate human review. In this way the customer wanted to achieve scalability by automating image deployment via an integration to the retailers host website.

In response to scalability issues, Content Llama wanted to rethink their platform from scratch with Spark as an innovation partner. The project included a discovery phase, a design phase and a delivery phase for a prototype to be shown in front of investors.

Based on the solution that Spark designed and built for Content Llama, the following outcomes were achieved:

• Simplification of the service delivery process, and reduction in manual effort.

• Reduced complexity and time required to onboard new brands to the Content Llama service.

• Delivery of more native integration with a range of e-commerce platforms, improving the usability of the service.

• Significant improvement in retailer satisfaction based on a streamlined and more efficient service.