ProfitOps is the world’s first Decision Intelligence platform powered by Objective-Driven AI. It transforms enterprise decision-making by aligning teams, systems, and AI agents around shared business objectives, whether you’re reducing Total Cost per Order, improving Perfect Order Index, or cutting Cost per Ton. Instead of siloed dashboards or static optimizers, ProfitOps embeds intelligence into your business systems (ERP, WMS, MES, OMS, etc.) and exposes cause-and-effect trade-offs in real-time. Users can simulate decisions, observe results, and continuously improve operations across fulfillment, planning, and manufacturing functions. ProfitOps is deployable entirely within your Azure environment, keeping your data secure and compliant.

Target Users

• Fulfillment & Logistics Leaders (e.g., VP of Fulfillment, Warehouse Ops)

• Manufacturing Directors (e.g., Operations, Plant Managers)

• Supply Chain & IBP Leaders (e.g., VP of Planning, S&OP Heads)

• Digital Transformation Executives

• AI/ML & Innovation Teams
  
  

Customer Need / Pain Points Addressed

• Disconnected KPIs and smart systems working at odds
  → Systems like WMS, DCS, or demand planning often optimize locally, not collectively.
  

• Lagging visibility into root causes
  → Why did the margin leak? Why did stockouts spike? ProfitOps surfaces cause-effect chains.
  

• No shared objective across planning and execution
  → One team optimizes for speed, another for margin. ProfitOps aligns them.
  

• Forecast-vs-Actual doesn’t close the loop
  → Continuous learning from plan-execution gaps helps turn “what happened” into “what to do.”
  

• Inefficient decision-making cycles
  → Cuts decision time from 24 hours to under 20 minutes in complex enterprise environments
  
  

Plan Description

Pricing

Contact Us for a Quote

Pricing is customized based on:

• Number of domains (e.g., Fulfillment, Manufacturing, IBP)
  

• Data integrations required
  

• User licenses and AI agent usage
  
  

Indicative ROI:

• TCPO reduced by 14% ($1.2M in annual savings)
  

• Cost per Ton cut by $3.1M annually
  

• Perfect Order Index improved by 12%