RETAIL & SUPPLY CHAIN

Predictive Analytics Use Cases

Predictive Analytics in the Retail & Supply Chain sector

Retailer & Supply Chain Business Challenges

To remain competitive and differentiate thru digital transformation, retailers need to reach Lean Operations. During the past years, retailers have consolidated their Big-Data and set-up Business Intelligence.

To reach the next level, Retailers have now to anticipate their key business indicators and use Predictive and Prescriptive Analytics to optimize their workforce efficiency, reduce their inventories while responding with accuracy to their customer demands.

Gartner stated: "By 2016, 70% of the most profitable companies will manage business processes using real-time predictive analytics or extreme collaboration".

Convalis Prediction Solution and Technologies

Solution

• Automated forecasting of business indicators and KPIs
• Weekly & Intraday, per product categories, in each retail point
• Taking automatically in consideration dynamically seasonality and external influencing factors of each context

Technologies

• Machine Learning and Artificial Intelligence for time series
• Big-Data AND Open-Data automatic correlation
• Prescriptive Operational Metric Forecasts
• Automated Contextualization & Deployment in 10000+ point

Business and Solution Benefits

Retailer & Logistic Business Benefits

• Accurate Weekly/Daily/Intraday Demand Planning
• Optimize short term Inventory & Logistic management
• Optimized Planning & Efficiency of Workforces
• Optimal Shelf Replenishment, before Missed Opportunity
• Minimize Wasted Inventory on Perishable Products
• Compare Retails Location for Best Practice Sharing
• Tune Marketing Activities to reach Business Objectives
• Retail & Supply chain

Solution Benefits

• Extracting business value from historical data
• Correlating with influential Open-Data: weather, calendar, community events, in-house or competing marketing actions
• Automated Machine Learning Forecasting with detailed granularity to Product categories, at each retail points, during various seasonal periods or marketing campaigns
• Automation of model contextualization for scalable deployments into 10000+ retail points
• IT flexibility to in house Data-Center or in Secured Hybrid Clouds, with APIs to existing & standard Business Intelligence applications
• Fast Proof of Concept & Pilot to validate immediate ROI