Improve stock availability and boost operational efficiency with last-mile Ai in 6-8 weeks
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Achieve an average 40% Safety Stock reduction without impacting business in 6–8 weeks

Value Proposition

InventoryOptimizationAi harnesses the power of Consequential Ai and Machine Learning to optimize stock levels, prevent overstocking or understocking, minimize holding costs for maximum efficiency and profitability

6-8 Weeks. Rapid time to Value

Guaranteed 5x ROI in 6-8 weeks
Get tangible value in record time. No more waiting for months or years for uncertain results

Lower Freight costs

Pay only for outcomes
We put our money where the math is. Pay us only when your KPIs are met

10x Lower costs of Data Science

Plug, play and go live
Hosted on-premise or as a service, requires no expensive consultants, and is ready to go live

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Scalable for businesses of all sizes
Caters to Fortune 5 to mid-sized enterprises across diverse industries

Responsible Ai

10x Lower costs of Data Science
Build vs buy, Faster, Better, Cheaper. Less cost, less risk

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We put our money where the math is!

How is InventoryOptimizationAi better?

InventoryOptimizationAi enables retail chains, quick-service restaurants, and manufacturers analyze historical sales data, market trends, real-time data, and other variables to adjust inventory levels dynamically and create accurate demand forecasts. This allows companies to optimize their inventory levels to meet demand without overstocking or risking stockouts

Supply Chain Ai icon
  • ML-based approach with self-learning continues to get better with more user interaction and data
  • Common object model for normalization of data from any system
  • Compose new systems without rearchitecting your current products
  • Enrich and improve scattered and incomplete data with ease
  • Ready-to-use ML-based product available on-premise or as-a-service
Rule base It Solution Icon
Rules-based IT Products
  • Rule-based systems don’t learn. Need to keep rules updated, tested and deployed. Expensive and painful
  • Inability to look at data in multiple dimensions
  • Hard to customize or upgrade and takes several months to update