Complex Supply Chains & Sales Channels



Managing your supply chain from distribution to store is already a difficult challenge. You must plan your refrigeration placement, account for MOQ when placing orders, track different spoilage dates across all your products, all while considering your store capacity and replenishment frequency.

Further compounding these challenges are your customers constantly changing preferences and demands. Shoppers expect a seamless omnichannel experience that is much more than just the ability to shop online, in-store or via mobile. As predicting demand across these different, yet integrated, channels becomes increasingly complex, will your grocery be able to survive?

 
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Improve Operational Shrink

Harness the power of ML to accurately predict demand and reduce perishable waste

REDUCE OVERSTOCK AND WASTE

There are subtle, yet important, differences in shrink across each of your categories. Traditional forecasting methods and software lack the ability to consider these nuances, which leads to high operational shrink and waste. Rubikloud’s Machine Learning models are specifically developed for your products and categories to produce the most accurate forecasts possible – enabling you to reduce overstock, waste, inventory costs, and your environmental footprint.

RETURN ON INVESTMENT

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OF FOOD WASTE DIVERTED FROM LANDFILL

Improve forecast accuracy resulted in approximately 18,000 pounds of food waste saved from landfill

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Prevent Missed Sales

Intelligently reduce stockouts and capture more sales with AI-powered forecasts

ENSURE SUFFICIENT COVERAGE

The complexities of store and warehouse replenishment are not accounted for in current forecasting methods, leading to insufficient coverage and stockouts. Rubikloud’s AI Engine considers all your data and relevant factors, such as replenishment frequency, expiration dates and case pack rounding, to produce forecasts that reflect actual consumer demand. With more accurate and intelligent forecasts, you can reduce stockouts, capture more sales, and ensure customer satisfaction.

RETURN ON INVESTMENT

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REDUCTION IN STOCKOUTS

Client saw a 31% reduction in stockouts compared to baseline approaches and existing legacy systems

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Optimize Promotions

Leverage the power of AI to plan the most effective promotions

DETERMINE THE BEST PROMOTIONS

Price point and promotions influence customer behavior, but plans are often repeated without understanding their impact to the overall business. Rubikloud’s AI Engine simulates promotional what-if scenarios in real-time, allowing Buyers to identify the most effective promotions based on business objectives and constraints. This intelligent decision automation optimizes overall promotion effectiveness while reducing the planning time required to build your promotional calendar.

RETURN ON INVESTMENT

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INCREMENTAL SALES LIFT PER AD

Client saw a 10% incremental sales lift per ad compare to baseline approaches 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