Intelligent analytics and behavioral insights

3
Intelligent analytics & behavioral insights to decipher customer purchase pattern & escalate product sales Vertical: Jewelry Retail | Horizontal: Business Intelligence

Transcript of Intelligent analytics and behavioral insights

Page 1: Intelligent analytics and behavioral insights

Intelligent analytics & behavioral insights to decipher customer purchase pattern & escalate product sales

Vertical: Jewelry Retail | Horizontal: Business Intelligence

Page 2: Intelligent analytics and behavioral insights

About Jewelry Retail: In-store Analytics Diaspark has introduced an industry changing solution that churns out to be the most efficient application for Jewelry Retailers. Referred as In-store analytics, the system holds a firm grip in depicting customer insights & capable of forecasting buyer’s preferences based on their purchase history. Store managers can now take intelligent business decisions & offer personalized services to their customers.

Challenges: • To understand & recommend a right product to customers has always been a challenging job for a brick & mortar business of Jewelry retail

• Store managers have to mine large chunks of data to offer special personalized services to loyal customers

• Identifying valuable customers & their buying preferences over the course of next six months and plan procurement accordingly

• Demographic classification of customers & their complementing services is still a manual process for most businesses

Solution:Diaspark has closely monitored the Jewelry retail operations & developed a series of impelling solutions to adrift customer services effectively.

• Created a solution that seamlessly integrates with mobile phones that is efficiently incorporated with Barcode scanners & Payment card swipe machines

• Acknowledged the importance of understanding customer’s behavior, In-store analytics provides a deeper insights to a customer’s Likings & Not-likings

• Merchandized mix acts as a driving force for forecasting procurement planning during periodic yearly cycles of what items are likely to be purchased

• Made an imperial traffic prediction system that estimates the expected customer during peak hours & busy holiday seasons

• Organized pile of customer’s analytics to help sales representatives to offer one-to-one services

Page 3: Intelligent analytics and behavioral insights

About DiasparkDiaspark, Inc. was founded in 1995 and is headquartered in Edison, New Jersey. With a team of 700 plus software professionals and a process maturity of CMMI Level 5 certification, it is recognized as a software firm that brings extensive experience of implementing and engineering enterprise grade mission critical software solutions across mobile, web and cloud technologies. Diaspark focuses on developing domain specific software solutions for businesses ranging from mid-sized to global fortune 500 enterprises.

Customer Insights• Purchase history

• Most liked items versus least interests

• Personalized services

Merchandising Mix• Identification of valuable customers

• Products likely to be purchased during next few months

• Procurement planning

Traffic analysis• Net traffic report

• Expected traffic during busy hours

• Service scheduling & planning

Features:

Benefits:• Improved customer behavior analysis & increased ROI

• Better planning of resources

• Higher customer retention rates

• Personalized services for loyal customer