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Retail Analytics

Accelerating the retail industry with AI and Machine Learning to help drive product demand planning, inventory, supply chain analytics, and real-time customer data.


The retail industry is highly competitive, requiring AI and machine learning to drive product demand planning, inventory management, supply chain analytics, and real-time customer data.

GlobeOSS is uniquely positioned to assist our retail customers in their digital modernization and transformation efforts, particularly in advanced business intelligence (BI), AI/ML (Artificial Intelligence/Machine Learning), geospatial data science, customer CDP (Customer Data Platform), and IoT (Internet of Things) solutions.


Retail Analytics
Use Cases

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Supply Chain Analytics 

End to end view of supply chain throughout the organization.

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Accurately plan for customer demand – down to the individual store level.


Inventory Planning.

Inventory Replenishment.

Pricing Strategies.

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Customer Insights

Know exactly what your customers want, when they want it, and make sure they get it.

*Store and location performance Insights.

* Customer Value Management


* Next Best Offer.

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Merchandise & Assortment Planning

Select the right merchandise to the right stores when customers are ready to buy.

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Demand Forecast

Forecast daily demand by store, for returns, and for new products.

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Next Best Offer

Determine customer loyalty state, next best action, customer lifetime value using AI.

* Churn Prediction.

* Next Best Offer.

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IOT use case for retail.

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Geospatial Supply Chain Optimization

Retailers have to up their game to optimize how their stores, distribution centres, & logistics partners work together to meet the demands of today’s unrelenting consumer.

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Site Selection

Predict revenues, identify twin areas, & use new data streams to monitor performance & plan expansion / consolidation efforts effectively.

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Public Data and Internal Data combination. Hyper-target your campaigns at a deeper granularity.

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Indoor Mapping

Location data generated from WIFI networks, beacons, GPS applications, and Apple Indoor Maps.


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Advanced Data Analytics

Cloud, On-Prem or Hybrid - helping our retail customers in digital operation, digital customer experience, digital business and digital security and fraud. 

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AI & Machine Learning

Unlock new possibilities and amplify our impact for society and retail businesses with AI/ML.

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Geospatial Data Science

Analysing spatial data combined with analytics and AI/ML for positive retail business impact.

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Internet of Things (IOT)

With our expertise in data analytics and AI/ML, we will also enable retail enterprises to create sustainable IOT initiatives - edge, cloud, and hybrid.

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Security analytics

Helping our retail customers in automating SOC, using many supporting tools like Data Analytics, SIEM, Threat Intelligence, SOAR, and Endpoint security.

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