We understand that raw data is of little use for enterprises and brands. Our Data Analytics Layer converts the tons of data collected from the user community into meaningful information for brands. Attractive renditions of the data in the forms of graphs, charts, heat maps, trends etc. make it easy for brands to understand and make sense of all the data collected.
The Discovery AI engine analyses past data and predicts future stock position and sales quantities. Based on these analyses, the engine furnishes forward-looking insights which brands are very valuable for brands, which they can then action upon. For instance, if a potential stock-out at a high-traffic retailer is predicted a couple of days in advance, brands can immediately rush to refill stocks, thereby preventing huge loss of sales.
The AI engine of Discovery gets smarter and more relevant with the passage of time, as more data is fed into its processing engine. This basically means that the accuracy of its predictions increases over time, making it an indispensible partner for brands.
With our experience in the Supply Chain and Sales domains, we understand that brands expect not raw data or predictions, but information that they can act upon. Our analytics layer has an alert dashboard with key points for brands that call for their immediate action. The most important activities are listed in this dashboard to avoid getting lost in the myriad of information presented.