Supercharge Your Supply Chain

All-in-one Data Science Platform,
Built for Supply Chain Planning

Planning in a Box combines your demand and supply data in a single, integrated environment to help you make accurate demand forecasts and reduce inventory carrying costs.

Planning in a Box is Used by
Supply Chain Planners Across the Globe

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Laser-focused on Supply Chain Transformation

  • Data Foundation
    Centralize and integrate supply chain data
  • Demand Sensing
    Improve demand forecasting accuracy with AI-based decision-making
  • Inventory Optimization
    Optimize inventory and reduce inventory carrying costs
  • Logistics Optimization
    Track stocks and available SKUs in real-time
  • Supplier Performance
    Optimization Track supplier KPIs and improve the supplier selection process

Why Planning in a Box?

Quickest Time-to-Value

It takes just 2 hours to get started with Planning in a Box and less than 8 weeks to realize business value.

Blueprint for Supply Chain data transformation

Top 1% AI and ML Specialists in Digital Supply Chain

We do one thing, and we do it with the utmost passion, and that is supply chain data transformation. We received the Gartner Supply Chain Innovation Award 2019 and the Google Partner of the Year Award 2020. Currently, we have the maximum number of AI and ML specializations on Google Cloud.

Easy to deploy, set up, and get started

We have built Planning in a Box keeping the planners in mind. The platform combines advanced AI and ML capabilities with the flexibility of using spreadsheet-like features. Rewriting parts of the existing formulas and custom codes are essential in supply chain planning, and so we have built the entire platform with an open, glass-box architecture method. It allows developers to customize the platform as needed.

Why do Planners Love Planning in a Box?

Planning Tasks Manual + Multiple Tools With Planning in a Box
SAP Reports 5+ Hours 30 Minutes
Sorting Data in Spreadsheets 20+ Hours 15 Minutes
Bring Market Intelligence 60+ Hours 1 Hour
Review Forecast & Suggestions 20+ Hours 30 Minutes
Inform Key Stakeholders 12+ Hours Real Time

Used by Planners Across Industries

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    AB InBev: With machine learning, this Bud’s for you

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    Worldwide leader in IT and networking used reduce time to generate sales quotes from weeks to minutes

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    California Design Den: Driving higher profits with ML

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    AB InBev: With machine learning, this Bud’s for you

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    California Design Den: Driving higher profits with ML

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    Pluto7 helped Levis Strauss & Co., an American clothing brand to accurately predict the product dimensions by 90%

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    Revv cars achieved an average forecast accuracy ranging between 65% to 85%

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    Worldwide leader in IT and networking used reduce time to generate sales quotes from weeks to minutes

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    Pluto7 assisted a client in notable infrastructure cost saving of approximately 15-20% by setting up the Virtual Machines on Google Cloud

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    AB InBev: With machine learning, this Bud’s for you

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    Google Cloud and Pluto7 helped a SoCal’s Gourmet Food Market optimize their inventory assortment using omni-channel data points

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    Ulta Beauty uses ML models to accurately predict the delay and quantity of the products

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    Pluto7 and Google Cloud helped TVS drive breakthrough innovation for their maintenance servicing business

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    Top automobile company uses Google Cloud and AI to determine the remaining useful life of EV batteries

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    USC Healthcare cut down processing time for clinical trials by 75% using Machine Learning and Google Cloud Vision

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    Pluto7 and Google Cloud helped DxTerity, a leading Genomics Company, diagnose diseases more effectively and recommended the best treatments for patients with immune-mediated diseases

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    Pluto7 and Google Cloud helped L-Nutra, a nutri-technology company dedicated to helping people increase their healthspan, gain a 360° view of their customer journey and activate marketing data like never before

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    Pluto7 and Google Cloud helped TVS drive breakthrough innovation for their maintenance servicing business

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    Pluto7 worked with a giant electric utilities company to build a scalable data structure using Smart Analytics