AI Graphic

Actionable Insights

Deep insights intelligently inform planning and decision-making

DATA DRIVEN DECISION-MAKING


Current demand prediction approaches are based on unvalidated assumptions and simple, historical data - leading to ineffective strategies. Rubikloud’s AI Engine leverages data from all of your disparate legacy systems, accounting for data sparsity, to identify the overlooked insights. This information better enables Buyers to grow their business more efficiently through data validated decision-making.

RETURN ON INVESTMENT


Days

FULL-TIME EMPLOYEE DAYS SAVED IN A YEAR

Client saved 1200 full-time employee days in a year based on a 50% reduction in planning and execution time. This led to buyers allocating more time to higher-value opportunities.

INSIGHTS AFFECTED BY:


Seasonality
Cross-Product Effects
New SKU Performance
Omnichannel
Price Changes
Pricing Zones
AI Graphic

Predict Price Performance

Optimize pricing strategy through improved baseline forecasting

REGULAR PRICE OPTIMIZATION


The current baseline forecasting approach cannot account for the vast amount of variability across your retail channels, including individual store performance, brick and mortar vs. online, and category/brand behaviour. Rubikloud’s retail-specific ML models continuously analyzes data from all of your sources to generate forecasts that more accurately reflect baseline demand. This enables Buyers to simulate multiple pricing scenarios to determine the optimal regular price strategy.

RETURN ON INVESTMENT


%

IMPROVEMENT IN FORECAST ACCURACY

Client saw a 33% improvement in forecast accuracy compared to existing approach and legacy system.

AI Graphic

Optimize Assortment

Capture more sales and margin opportunities with the best product assortment

AI-DRIVEN ASSORTMENT PLANNING


Determining which SKUs to stock within your assortment is challenging, especially while trying to achieve your business objectives. Adding more products to the assortment further complicates this problem without guaranteeing greater sales. Rubikloud’s ML modelling weighs various factors, such as cannibalization and halo effects, to forecast multiple product combination scenarios – helping Buyers determine the optimal assortment to achieve sales and margin goals.

RETURN ON INVESTMENT


%

SALES AND MARGIN OPPORTUNITY

20% sales and margin improvement opportunity for everyday assortment

Why Choose Rubikloud?

01

Learn Module Icon
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

Activate Module Icon
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

Optimize Module Icon
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.

Stop Speculating. Start Predicting.

Apply AI Today