SmartAIX

Large Scale Retail Data Analytics to Drive Fast & Accurate Business Decisions

SmartAIX Intelligence Drives Smarter Faster Decisions

Integrated Analytic Approach

SmartAIX Utilizes an Integrated Approach to Analytics By Allowing Utilization of Disparate Data Such as Space, POS, Customer Insights, Store Attributes, Plan-o-gram KPI's and Execution to Get a Complete 360 Degree View of Store and Category Performance.

Automated KPI Management

SmartAIX Provides a Standardized Business Rule Driven Platform Facilitates a Consistent Repeatable Analytic Process Based on the Rules You Use to Drive Your Business.  Utilization of Business Rule 'Approach Allows for Modification as Conditions Change While Maintaining Ability to Provide Specific Recommendations.

SmartMap Integration

SmartAIX Directly Integrates With SmartProject Space Management Tools.  This Integration Provides Virtual Real-time Space Productivity and Allocation Analysis as well as the Ability to Understand Trends Across Spatial Location, Orientation, Format and Other Store & Market Attributes.

Promotional Analytics

SmartAIX Promotional Analysis is Critical to Making Significant Decisions Around Product Selection, Product Mix, Location Optimization, Inventory Optimization and Execution Timing. The Integration From Disparate Sources Such as Weather and Customer Conditions Facilitates Very Fast and Accurate Decisions to Put the Right Product in Front of the Right Customer at the Right Time.

AI/ML Implementation

SmartAIX Get Smarter Every Day.  Our Machine Learning Environment Means the Software Gets Smarter Every Day as Trends Develop Across Multiple Formats and Multiple Assortments.  This Combined With AI Implementation Automates a Significant Portion of Base Analytic Activity.  

Virtual Real-Time Visibility

SmartAIX Utilization of Real Time Data is Critical to Your Ability to Move Faster in the Current Retail Environment.  SmartAIX Facilitates Making Scale Decisions as Store Conditions, Weather Conditions and Customer Preferences Change.

Google Cloud Integration

RetailGIS Utilizes the Google Cloud Platform to Provide High Speed Very Large Scale Data Analytics in Real Time.  This Partnership Provides the Ability to Analyze Terabytes of Disparate Data in Seconds.  SmartAIX Proprietary Algorithms Applied With Number Crunching Power is an Unbeatable Combination.

SmartProject Integration

SmartAIX Direct Integration With SmartProject Provides a Date Specific View of Project Execution, Project Issues, Etc. Applied Across POS Sales and Inventory Across New Item Cut-ins, Retail Projects and Daily Store Activity.  This Visibility Facilitates a Level of Analysis Relative to Program Execution Previously Unavailable.

Macro Store Optimization

SmartAIX is the Only Macro Store Optimization Tool Available Today.  Our Macro vs Micro Approach to Driving Store Performance is Unique.  The Interaction Between Categories, Store Format, Space Allocation Requires a Top Down Rules Driven Approach to Deliver Specific High ROI Recommendations to Increase Both Comp and Margins

Customer Insights

SmartAIX Utilizes Disparate Data Sources With Customer and Market Insight Data Being at the Top of The List.  This Insight Data Makes Certain That Current Customer Trends and Preferences as Well as Competitive Trends are Accounted For in the Analytic Process.

 

Lack of Integrated Data Analysis = Bad Retail Decisions

Sales/Inventory Analytics Only

Most Retailers and Suppliers Analyze the Data They Have Readily Available Which is Usually Sales and Inventory.  This Approach Ignores The Most Important Factors Such as Competitive Trends, Customer Trends, Store Format, Rack Configuration, Spatial Location & Orientation.  

No Clustering Methodology

Most Retailers and Suppliers Do Not Have a Strong Accurate Clustering Methodology.  Clustering is Mission Critical to Understand How Stores Inter-relate Across Factors Such as Format, Space, Mix, Customer, Traffic, Zoning Rules, Etc.

Micro vs Macro View

Most Optimization Initiatives Are Based on Combining a Micro View of Performance By Analyzing Plan-o-grams and Categories Then Combining Those to Roll-up a Store Optimization Plan.  This Approach Misses The Big Picture of How Categories Interact With Each Other and the Customer.

Disparate Data Sources Needed

A Full 360 Degree Data View is Necessary to Completely Understand and Develop Competent Recommendations for Improvement.  This Data is Not Easy to Understand and Integrate But Ignoring The Indicators in This Data Can Be Fatal to Key Programs.

No Integrated Platform

The Lack of Integration Between Space, Execution and Customer Insights Is a Huge Gap That Derails Many Opportunities.  Analysts Need Access to These Disparate Data Sources to Get a 360 Degree View of Activity Impacting Total Performance of Corporate and Store Initiatives.

No Big Data Lake Platform

Retailers and Suppliers Typically Have a Limited Big Data Platform But Most Cycles Are Spent Analyzing Only Internal Basic Sales and Inventory Data.  It is Critical That Speed and Processing Power is Available to Deliver Analytics Across Disparate Data Sources in Real Time.

Directional vs Specific Analytics

Standard Big Data Analytics Provide Directional Data and Options Versus an Approach With End Goal of Providing Specific Store and Category Level Recommendations Along with Costs and Expected ROI.  Specific Recommendations Are Critical to Managing Your Budget and Capability to Execute the Initiative.

Lack of Real Time Data Inputs

Today Retailer Data Analytics are Focused on the Rearview vs Predictive Analysis to Provide Better Future Results.  Lack of Predictive Analytics Coupled With Lack of Customer Insight and Execution Data Assures Program Will Not Be as Successful as Expected.