Increasing Competition & Decreasing Customer Loyalty



The rise of digital retailing and home delivery have changed consumer demand and behaviour. This shift in consumers’ path to and point of purchase is impacting store visits and customer loyalty. Other types of retailers are adopting and implementing new strategies to cope with these changes, increasing the amount of competition convenience retailers are facing.

In addition to these shifts are the daily difficulties that convenience stores face, such as pricing rules, adhering to regulatory guidelines for controlled substances (alcohol, tobacco, gasoline), and using insufficient legacy practices to manage a retail business. As selling opportunities decrease due to these challenges and changes in the market, will your business be able to compete?

 
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Improve Planning Efficiency

Increase planning efficiency with AI-powered decision automation

HARNESS DECISION AUTOMATION


Forecasting is a core component to your business planning, but involves highly manual and complex steps that make it difficult to efficiently complete. Rubikloud’s AI Engine accurately forecasts demand in real-time and feeds outputs directly into your legacy systems. This helps to transform your manual, time-consuming tasks into automated steps, allows for plans to be seamlessly implemented, and enables teams to focus on more strategic, higher-value opportunities.

RETURN ON INVESTMENT


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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

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Improve Forecast Accuracy

Harness the power of ML to accurately predict consumer demand

ML-ENABLED FORESIGHT


With diminishing customer loyalty and growing competition, predicting customer demand is more difficult than ever before - resulting in a higher likelihood of both under and overstocking inventory. Rubikloud’s ML models ingest and analyze POS, inventory, market, competitive and external data to accurately predict consumer demand. This improved forecast accuracy enables better management of inventory, reduces overstock and minimizing stockouts.

RETURN ON INVESTMENT


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SKU-LEVEL FORECAST ACCURACY IMPROVEMENT

Clients typically see a 33% improvement in SKU-level forecasting accuracy

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Data-Driven Promotions

Leverage AI to build data-validated, optimized promotions

OPTIMIZE PROMOTIONS


Planning promotions is a manual, complex and time-consuming task, often leading to repeated programs and intuition-based decisions. Rubikloud’s AI Engine simulates promotional what-if scenarios in real-time, identifying the optimal price, mechanic and promotional scope to maximize promotion effectiveness. These automated, data-validated plans optimize performance while reducing the manual steps and planning time required to build them.

RETURN ON INVESTMENT


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INCREMENTAL SALES LIFT PER AD

Client saw a 10% incremental sales lift per ad compared to baseline approach and existing legacy systems

Why Choose Rubikloud?

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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.

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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.

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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