RETAIL

 A consumer based technological evolution.

MOVING BEYOND THE BASICS

Finding creative ways to engage with customers,  improve in store experience and prevent loss is crucial to the survival of traditional retail stores battling against online commerce. Through advances in customer analytics and insights, we can enable better customer experiences, intelligence supply chain management and more.

A recipe for success.

We welcome the chance to discuss the challenges in your business and the opportunity to design innovative solutions to solve those problems. Click on the button to view our proven process. 

OUR PROCESS

CASE STUDY: AI Driven Assessment for Effective Hires

Increase Hiring Effectiveness

“Improving Hiring Effectiveness”

A Clear Intelligence Case Study 

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A retailer wants to select the best talent for its retail operation that will drive more effective sales conversions, improve customer experience and loyalty.

The Problem: As business grow or have turnover, job opportunities can attract hundreds of applicants a day. How can you identify and make offers to the people best suited for each role and determine who will drive more sales and customer experience?

The Solution:  Leverage IBM Watson Candidate assessment to enable them to pinpoint the best candidates. This not only drives better recruiting effectiveness and better sales in store, but also streamlines the recruiting process. The solution can also recommend to candidates a different opening at the company better suited to them, thereby increasing ongoing employee retention and hiring experience.

Retailers Cite the Technology Trends Shaping their Future 

(% of respondents planning investments by 2021)

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INTERNET OF THINGS: Giving a digital voice to people, processes and things to improve the customer experience, enhance supply chain visibility and expand revenue opportunities.
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MACHINE LEARNING: Analytics and predictive models to help retailers personalize customer experiences and enhance inventory demand, forecasting and visibility.
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AUTOMATION: Automation for packing shipping orders, inventory tracking, checking in-store inventory and assisting customers in finding items.

“Back of Store Inventory Optimization” 

A Clear Intelligence Case Study

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A supplier wants to ensure they have up to the minute inventory data for the back of store to ensure customer always has the optimal amount of inventory.

The Problem:  back of store inventory is the buffer to ensure no out of stock on the retailers floor. The supplier wants to ensure that enough inventory is in and react to surges in demand in a real time manner. This will allow the supplier to optimize inventory and ensure customer service is maintained.

The Solution:  Implement camera in back of store in combination with leveraging IBM Watson visual recognition  assessment to enable them to identify by product current real time inventory levels in back of store and react accordingly by changing the next delivery to optimize inventory. This removes the need for inventorying the product manually and also allows real time reaction so optimizes working capital and reduces losses for products that have limited shelf life. Solution can also be extended to loss prevention / delivery verification.

CASE STUDY:

Image Recognition for Inventory Optimization

inventory optimization

Finding creative ways to engage with customers,  improve in store experience and prevent loss is crucial to the survival of traditional retail stores battling against online commerce.

Discover the right solution for you