Graas in the Spotlight

Ecommerce is a complex business. There are a lot of moving parts (channels, orders, catalogue, inventory, organic traffic, paid traffic etc). Imagine if you could govern your business with mathematical certainty. If you had an equation that could help you break down the business, keep track of the metrics that matter to you, and help you navigate the challenging eCommerce landscape

The potential of AI-powered Algorithmic eCommerce Technology plays a crucial role in the profitability of eCommerce businesses. From managing storefront and driving demand to supply chain management and order fulfilment, technology is involved in every aspect of the process. Algorithmic eCommerce is a great example of the power of technology in this regard. By using machine learning algorithms, it can track campaigns, identify trends, anticipate buying patterns, optimize inventory levels, and adjust prices and promotions to maximize revenue. It enables businesses to identify growth opportunities and implement solutions effectively.

Today, on an average 3.5 quintillion bytes of data is being created every day. By using data to inform their decisions, brands can not only reduce their risks, but can also quickly act upon new opportunities for growth. However, they must carefully consider which data sources to trust, be fanatic about the quality of data and identify their specific needs in order to derive any meaningful outcomes.