RUBIKLOUD’S SOLUTIONS ARE BUILT SPECIFICALLY FOR RETAILERS TO DELIVER HIGHLY ACCURATE, AUTOMATED MASS PROMOTIONAL OPTIMIZATION AND DEMAND FORECASTING AT CHAIN, STORE AND SKU LEVELS
The first step in promotion planning is understanding past success, but it can be difficult to understand the deeper impact promotions have on other products and categories in your business. Rubikloud’s AI Engine evaluates metrics, such as promotion lift, price elasticity, residual basket value, and item importance, for a holistic view of historical promotional effectiveness and overall value – helping you identify the best opportunities for your business.
METRICS CONSIDERED:
Promotion Lift
Price Elasticity
Residual Basket Value
Item Importance
Halo Effect
Cannibalization
Promotion Forecasting
Can you confidently assess the merchandise needed at the store level to minimize stockouts and overstocks?
Customer demand and behaviour is more volatile than ever before, making it challenge to accurately predict demand. Rubikloud’s Promotional Forecasting Engine allows non-technical business users to harness the power of ML that is fully integrated with existing supply chain processes, applications and technologies. The output from these engines provides granularity by week, store, item and various promotion types and mechanics.
Return on Investment
%
IMPROVEMENT IN FORECAST ACCURACY
Customer saw a 48% improvement in promotional forecast accuracy compared to baseline approaches in existing legacy systems.
DATA SOURCES INGESTED:
ERP Data
POS Data
Inventory Data
Promotion Mechanic
Omnichannel Data
Market Data
Promotion Optimization
Are we generating the highest possible sales and margin?
Rubikloud’s Promotion Optimization Engine identifies the optimal price, mechanic and promotional scope to maximize various P&L objectives for individual omnichannel touchpoints (in-store, digital, eCommerce, flyer, BOPIS, etc.). Our optimization algorithms can incorporate cannibalization, cherry picking, pantry loading and missed cross-selling opportunities. The result is reducing missed dollar opportunities and minimizing promotions that attract the wrong type of customer who offers a reduced level of engagement.
Return on Investment
+
%
INCREMENTAL MARGIN LIFT PER PROMO
Customers experienced a 30% improvement in forecast accuracy.
FACTORS CONSIDERED:
Cannibalization
Halo Effect
Seasonality
Promotion Price and Mechanic
Optimal Margin, Revenue and Units Sales
Pantry Loading
Connects to Retailer Merchandising Systems
Just a few popular merchandising systems we integrate with
Why Choose Rubikloud?
01
UNIFIED DATA
Our expandable solutions ingest data from all your raw sources and quickly converts it into a clean, usable data model. This removes the onus from internal resources and allows for seamless integration back into your legacy systems.
02
REAL PRODUCT. REAL RESULTS.
Our proven solutions are deployment ready, no need for costly custom builds or lengthy sessions that never lead to anything tangible. This approach delivers the fastest time to value on the market while optimizing total cost of ownership.
03
WORLD LEADING RETAIL-SPECIFIC ML
Using our best-in-class, industry specific Machine Learning expertise, we tackle the most complex and nuanced business challenges uniquely impacting retailers.
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