Cognizance provides a clear representation of performance, trends and problem areas, allowing one to allocate resources accordingly and understand the cost of that resourcing in the greater scheme.
The data sets compiled by Cognizance are too large and complex to be dealt with by traditional data-processing application software. Cognizance utilizes smart technologies to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
A graphical interface which provides an at-a-glance view of key performance indicators. Often this line of sight is derived from various disparate data input sources such as enterprise, supply chain, retail and big data analytics.
Having a centralized dashboard of sales operations, distribution and retail execution not only proved line of site of performance, but also the ability to drill down deeper. Data is transformed into actionable insight. Cognizance allows one to drill down from Category and Brand to SKU sales and stock holdings by Region, Chain and even Retail Outlet.
Predictive analytics allows for the predictions of trends ahead of their time. Using large historical data and various Machine Learning techniques, Cognizance makes predictions to provide foresight into the retail environment.
The discipline of adjusting a system or process so as to optimize some specified set of parameters. The primary goal is to minimize cost and maximize throughput and/or efficiency, particularly when automation is involved.
Cognizance uses its advanced AI and ML as well as traditional algorithms to optimize everyday processes in line with the data flowing into the system, for example; matching the deviations found in the sales and stock data to that of your delivery cycle. This allows live adjustments to previously static processes like deliveries and restocks. Rescheduling stock ups and suggesting ideal call cycles in real time, working backwards to achieve as close to Just In Time manufacturing as possible.