Next-gen Planning Delivered Today

The planner is at the front and center of Algoshelf
AI algorithms powered by cloud computing make all the magic happen behind the screens

Power of automation and design PURPOSE-BUILT FOR FMCG
High-frequency Data

High-frequency Data

GRANULAR DATA SIGNALS are the foundation of data-driven AI planning. In additional to sales data trends, daily, weekly, and monthly seasonality, our AI engine supports unlimited causal factors such as app-promotions, store promotions, media-ads, store closures, stock-out, temperature, precipitation, web activity, etc. at SKU-Location level or any higher level.

Probablistic Optimization

Probabilistic Optimization

PROBABILISTIC FORECASTING & OPTIMIZATION allows us to capture the uncertainty in demand at granular SKU-Location-day level, and sift through millions of possible revenue-inventory trade-off combinations to arrive at an optimal solution.  We use segmentation to drive business results at a segment level and avoid broad brush-planning.

Cognitive Analytics

cognitive analytics

cognitive analytics algorithms automatically extract knowledge from raw data, and clean and store it in a knowledge graph. Cognitive analytics uses this knowledge to serve deep insights on-demand without requiring any special analytical skills. AI algorithms also continuously monitor metrics in real-time and alert planners when abnormal events are detected.

High Performance Cloud Computing

High Performance Cloud Computing

Algoshelf is ZERO-FOOTPRINT SaaS. Our REST APIs allow for high frequency, high-speed data ingestion. Our platform allows massive parallelization of all algorithms and will enable plans for hundreds of thousands of Store-SKU combinations to complete in just a few minutes. Using the serverless paradigm, we reduce costs significantly by using compute only when needed.

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