IN-STORE OPERATIONS
We provide retailers with applications empowering their store associates and management with a set of modules that provide a comprehensive in-store productivity solution.
Our applications help store management understand volume and quality of traffic, along with customer behavior within stores.
These applications enable each store to improve scheduling, labor balancing and performance of store associates, as well as enhancing their planning, layout and display effectiveness.
Understand store traffic by time of day and day of week, as well as over periods of weeks, to identify opportunities to improve sales conversion.
Analyze store performance in terms of conversion, average transaction and units per transaction.
Enhance associate performance in terms of conversion, average transaction and units per transaction by implementing training to improve performance specifically where needed.
Improve traffic conversion by balancing labor hours to store traffic and traffic by zone, and by scheduling the right associates at the most optimal times in the required zones.
Monitor customer movement between and within zones to measure the effectiveness of store layout.
Measure customer dwell times within zones or even at specific displays to measure the effectiveness of product placement and placement changes.
Analyze percentage of traffic drawn into the store by window and storefront displays and the effectiveness of display changes.
Quantify new vs. repeat, recency, frequency and dwell times to understand effectiveness of initiatives on customer engagement.
IN-STORE CAMPAIGN
We help retailers improve their store campaign effectiveness by understanding store traffic fluctuations resulting from marketing initiatives, such as promotions, coupons, advertising and events communicated to customers via the various possible delivery vehicles.
Our applications answer the following questions: How is each store impacted? Which campaigns and delivery vehicles are the most effective? Are they driving repeat visits? New visitors? What is the ROI of each campaign? Based on the real-time analytics provided, retailers can immediately make changes to improve results or repeat the elements of successful campaigns.
Identify and understand positive and negative changes in traffic and conversion resulting from different campaigns, events, and external traffic drivers.
Measure and analyze changes in conversion rates and dwell times utilizing positive/negative changes in traffic by department/zone resulting from external traffic drivers as they happen in real-time.
Evaluate the lift in dollar volume, units and margin vs. each promoted item’s historical baseline. Also identify other items that were sold with each promoted item and learn the lift in dollar volume, units and margin vs. their historical baselines to understand the halo impact of the promoted items.
Understand customer purchase history and external demographic information to build campaigns for specific products or product categories to targeted demographic profiles. Maximize customer response and campaign ROI. Improve customer engagement by presenting offers that resonate with them.
Analyze passerby traffic, traffic conversion, understand new vs. repeat customers, understand the recency and frequency of existing customer visits, store traffic based on dwell time and conversion.
IN-STORE ENGAGE
We enable retailers to improve engagement with their shoppers in the store by personalizing the shopping experience for each customer. Our product recommendation engine can enable store sales associates to engage their customers with rich customer profile information and specific product recommendations. Customers who opt-in can receive personalized digital offers and product recommendations via their smartphones.
Based on known customer preferences, purchase history and external demographic information; make product recommendations to customers who have opted in via their smartphones, personalizing their shopping experience.
Our product recommendation engine enable store sales associates with rich customer profile information and specific product recommendations, allowing them to better engage with their customers.
Driven by customer preferences, purchase history and prior promotion response information; make promotional offers to customers who have opted in via their smartphones, engaging them with offers that resonate.
