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.
Supply Chain Analytics
End to end view of supply chain throughout the organization.
Accurately plan for customer demand – down to the individual store level.
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.
Merchandise & Assortment Planning
Select the right merchandise to the right stores when customers are ready to buy.
Forecast daily demand by store, for returns, and for new products.
Next Best Offer
Determine customer loyalty state, next best action, customer lifetime value using AI.
* Churn Prediction.
* Next Best Offer.
IOT use case for retail.
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.
Predict revenues, identify twin areas, & use new data streams to monitor performance & plan expansion / consolidation efforts effectively.
Public Data and Internal Data combination. Hyper-target your campaigns at a deeper granularity.
Location data generated from WIFI networks, beacons, GPS applications, and Apple Indoor Maps.