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Fixing dScribe AI SaaS Dashboard UX for Bulk Inventory Management
Fixing dScribe AI SaaS Dashboard UX for Bulk Inventory Management
Fixing dScribe AI SaaS Dashboard UX for Bulk Inventory Management
A comprehensive dashboard redesign for Y Combinator's autonomous drone inventory platform, transforming how agricultural and mining operations monitor and analyze bulk stockpile movements through 3D vision technology.
dScribe AI
dScribe AI uses autonomous drones and 3D vision to track bulk inventory.
YC Batch
YC Batch
Summer 2025
Industry
Industry
Supply Chain and Logistics
Challenge
The original dashboard interface presented scalability and visualization challenges that could impact operational decision-making for bulk inventory management. With single-site limitations preventing multi-location oversight, missing temporal analysis capabilities for material fluctuation tracking, and basic site visualization lacking contextual geographic information, operators faced analytical friction when managing complex stockpile operations. Research shows companies lose $1.1 trillion annually due to poor inventory visibility, with bulk materials presenting unique measurement challenges requiring specialized solutions. The interface lacked comparative material movement analysis, missing volume proportion visualizations for quick material composition understanding, and static presentations that didn't leverage the revolutionary drone-based 3D reconstruction capabilities. These patterns violated Visual Hierarchy principles and increased mental processing overhead for agricultural and mining professionals managing critical stockpile assets.
Challenge
The original dashboard interface presented scalability and visualization challenges that could impact operational decision-making for bulk inventory management. With single-site limitations preventing multi-location oversight, missing temporal analysis capabilities for material fluctuation tracking, and basic site visualization lacking contextual geographic information, operators faced analytical friction when managing complex stockpile operations. Research shows companies lose $1.1 trillion annually due to poor inventory visibility, with bulk materials presenting unique measurement challenges requiring specialized solutions. The interface lacked comparative material movement analysis, missing volume proportion visualizations for quick material composition understanding, and static presentations that didn't leverage the revolutionary drone-based 3D reconstruction capabilities. These patterns violated Visual Hierarchy principles and increased mental processing overhead for agricultural and mining professionals managing critical stockpile assets.
Our Approach
SaasFactor reimagined the interface architecture through strategic application of Progressive Disclosure and Comparative Visualization principles, transforming complex bulk inventory data into actionable operational insights. We addressed Information Architecture scalability by implementing multi-site dropdown navigation, enabling seamless transitions between different inventory locations. The redesign leveraged Material Movement Analytics through innovative time-series visualization that reveals seasonal patterns and consumption trends across material types. Our methodology incorporated Proportional Visualization theory, using stacked volume bars that enable immediate material composition assessment without numerical analysis. We applied Geographic Contextualization principles by integrating realistic map-based site visualization with proportional location markers. The solution balances analytical sophistication with intuitive interaction patterns, ensuring operators can leverage dScribe's revolutionary autonomous drone and 3D vision capabilities for comprehensive stockpile management.
Our Approach
SaasFactor reimagined the interface architecture through strategic application of Progressive Disclosure and Comparative Visualization principles, transforming complex bulk inventory data into actionable operational insights. We addressed Information Architecture scalability by implementing multi-site dropdown navigation, enabling seamless transitions between different inventory locations. The redesign leveraged Material Movement Analytics through innovative time-series visualization that reveals seasonal patterns and consumption trends across material types. Our methodology incorporated Proportional Visualization theory, using stacked volume bars that enable immediate material composition assessment without numerical analysis. We applied Geographic Contextualization principles by integrating realistic map-based site visualization with proportional location markers. The solution balances analytical sophistication with intuitive interaction patterns, ensuring operators can leverage dScribe's revolutionary autonomous drone and 3D vision capabilities for comprehensive stockpile management.
Outcomes
The redesigned interface transforms operational oversight through multi-site navigation enabling comprehensive inventory portfolio management across distributed locations. Agricultural and mining operators now experience advanced material movement analysis revealing seasonal fluctuation patterns and consumption trends that inform strategic purchasing and operational planning. The revolutionary volume proportion visualization system provides immediate material composition understanding through intuitive stacked bars, while enhanced geographic site mapping with proportional markers enables spatial awareness of inventory distribution. Enhanced time-based filtering capabilities support granular analysis periods supporting both tactical daily operations and strategic quarterly planning. These enhancements maximize dScribe's core autonomous drone and 3D vision technology that provides precise volumetric measurements for agriculture and mining stockpiles, eliminating the guesswork that costs industries billions annually through measurement inaccuracies.
Outcomes
The redesigned interface transforms operational oversight through multi-site navigation enabling comprehensive inventory portfolio management across distributed locations. Agricultural and mining operators now experience advanced material movement analysis revealing seasonal fluctuation patterns and consumption trends that inform strategic purchasing and operational planning. The revolutionary volume proportion visualization system provides immediate material composition understanding through intuitive stacked bars, while enhanced geographic site mapping with proportional markers enables spatial awareness of inventory distribution. Enhanced time-based filtering capabilities support granular analysis periods supporting both tactical daily operations and strategic quarterly planning. These enhancements maximize dScribe's core autonomous drone and 3D vision technology that provides precise volumetric measurements for agriculture and mining stockpiles, eliminating the guesswork that costs industries billions annually through measurement inaccuracies.
BEFORE | AFTER | WHY |
|---|---|---|
Single-site dashboard limiting multi-location inventory oversight | Multi-site dropdown navigation enabling seamless location switching | Applied Progressive Disclosure - operators managing multiple sites need unified access without interface fragmentation |
Basic key metrics without temporal context or trend analysis | Enhanced metrics with trend indicators and material movement timeline | Leveraged Visual Hierarchy - stockpile managers need immediate understanding of inventory trajectories for operational planning |
Missing comparative material analysis across time periods | Material Movement Summary chart tracking limestone, sand, gravel fluctuations | Implemented Chunking - organized material tracking reduces analysis time and reveals seasonal patterns |
Static volume numbers requiring mental calculation for composition | Proportional volume bars showing material composition visually | Applied Picture Superiority Effect - operators process visual proportions faster than numerical calculations |
Generic site listing without geographic or spatial context | Realistic map visualization with proportional location markers | Utilized Mental Model - geographic context matches operator expectations for spatial inventory management |
Basic site information presentation without visual scanning aids | Icon-coded metrics enabling rapid information processing | Applied Recognition Over Recall - visual symbols reduce cognitive load during multi-site monitoring |
Missing temporal filtering for seasonal and operational analysis | Time-based filters supporting granular period analysis | Leveraged Goal Gradient Effect - clear time-based controls guide operators toward specific analytical objectives |
Limited scalability for growing multi-site operations | Dynamic interface adapting to unlimited site expansion | Implemented Tesler's Law - interface complexity scales appropriately without transferring burden to operators |
BEFORE |
|---|
Single-site dashboard limiting multi-location inventory oversight |
Basic key metrics without temporal context or trend analysis |
Missing comparative material analysis across time periods |
Static volume numbers requiring mental calculation for composition |
Generic site listing without geographic or spatial context |
Basic site information presentation without visual scanning aids |
Missing temporal filtering for seasonal and operational analysis |
Limited scalability for growing multi-site operations |
BEFORE |
|---|
Single-site dashboard limiting multi-location inventory oversight |
Basic key metrics without temporal context or trend analysis |
Missing comparative material analysis across time periods |
Static volume numbers requiring mental calculation for composition |
Generic site listing without geographic or spatial context |
Basic site information presentation without visual scanning aids |
Missing temporal filtering for seasonal and operational analysis |
Limited scalability for growing multi-site operations |
