Eighty-two percent of shoppers say they consult their phones on purchases they’re about to make in a store.
Customers have come to expect an omni-channel experience. When they are in your store, they frequently consult your mobile app or mobile web experience to complement their in-store visit. Similarly, they prefer checking on stock, price and event details online prior to making that trip to the nearby store.
One in four people who avoid stores say it’s because they don’t know if a product is in stock.
Brick and Mortar Retailers need to revise their omnichannel playbook to thrive and stay relevant across all channels.
We help retailers increase product sales by optimizing their catalog. Our deep data and machine learning driven platform constantly sifts through your catalog for inventory, price, placement and choice. Finding the right combination that boosts sales.
Most larger retailers are deeply invested on feature development. We complement that by deeply investing in competitive forces surrounding the products that your customers buy. What is trending, what is not. Ensuring availability is optimized for demand. Tweaking price till it is just right. Expanding that catalog to not only drive traffic but to optimize margins as well.
Your competition is running deep analytics. You should too. Combining a growing list of varying shopper signals we analyze your catalog for choice, freshness, inventory levels, pricing and more. Doing so ensures that your shoppers and customers are receiving the best value in the market.
Our team of data scientists and engineers combined with our big data analytics platform of growing market intelligence allows you to understand and respond to changing conditions in a timely manner. Be they competitive products, pricing or availability.
We at Newstar leverage our big data framework and tools across data mining, predictive analytics and machine learning to help retailers play right in the omnichannel age.
Our predictive analytics tools help optimize a retailers catalog by Optimizing inventory availability by SKU, category and geo location. Not only looking at in store availability but also optimizing for time and costs across all fulfillment nodes