The Small & Medium Businesses face unique challenges on a daily basis. Right and timely decisions, across business areas based on Facts and Data that are synthesized by Scientific Analysis of the same hold the key to succeed. Key challenges faced by them include:
Typically SMB's are dependent on multiple suppliers and it is essential for them to forecast their demand, specifically by SKU (and even geography). Our predictive tools and techniques enable you to increase your forecast accuracy by SKU level and make a positive impact to your bottom-line.
Happy customers lead to improved sales.Use data analytics to understand your customers and move towards bespoke, personalized service, offerings and improved customer service practices. Big data analytics can also lead to directed advertising of your products for your customers.
Manage your campaigns by using our AI-based proprietary analytics tool to Identify the right customer fit for a particular product, doing customer segmentation based on historical data, identifying the "look-alikes", picking the right channel, weekday and day-part - all at individual target levels abd managing the campaign. The tool also performs psych-demographic -behavioural profiling of the customers and prospects for the right fitment.
Limited resources require careful planning and optimal utilization. Use big data analytics to identify inefficiencies in your operations and eliminate them. Our proprietary techniques can also help SME's to optimize your resource mix for maximum returns.
Please let us have your details and we shall connect with you at the earliest
Increased campaign success rate and drop in abandoned carts
Improving the forecast accuracy for an online retailer to prevent overstock / out of stock situations, save storage costs and increase supply chain visibility.
Using our proprietary algorithms and tools to improve the company's search ranks for major SKU's, increase revenues and optimize the online ad spend.
India: New Delhi, Gurugram, Bengaluru, Navi Mumbai, Hyderabad
USA: New York
India: +91 11 410 20 300
USA: +1 347 535 3001
UK: +44 118 2040001