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Sumori

Sumori provides brand-specific intelligence infrastructure for retail, connecting data across a brand's store, customers, and market into a continuously learning decision layer. The platform observes external market formation and internal commercial state, translates them into ranked commercial priorities with clear ownership, and evaluates outcomes to refine its model of how that specific brand responds. It integrates with existing commerce, customer, marketing, product, inventory, and finance systems without requiring replacement.

Traction 8/10
New York, United States · HQ
Founded 20267100+ followers
  • Data & Analytics
  • Retail Technology
  • Artificial Intelligence
  • Software Only
  • Enterprise Software
Updated 15 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Retail intelligence is fragmented across disconnected systems, teams, and agencies, making it difficult for brands to form a coherent view of their commercial state. Most software only reacts after a metric moves, leaving teams blind to emerging demand shifts and unable to ground decisions in how their specific brand actually operates.

Solution

Sumori builds a continuously learning intelligence layer that connects what is happening across a brand's store, customers, and market, then distills it into ranked commercial priorities with clear ownership. The platform observes both external market formation and internal commercial state, translates those observations into actionable decisions with trade-offs and impact assessments, and evaluates outcomes to update its model of how that brand responds. This creates a shared commercial memory that lets teams see earlier, decide with context, and learn from every action taken. The platform sits above the existing operating stack, connecting context from commerce, customer, marketing, product, inventory, and finance systems without requiring replacement.

Target Audience

Primary customers are retail brand leadership teams, including commercial, merchandising, and strategy functions, who need to connect scattered intelligence into a single decision-making layer. The platform serves e-commerce teams tracking traffic, conversion, revenue, and basket movements, as well as broader commercial organizations seeking to capture demand earlier.

Features

  • Probabilistic formation intelligence that aligns heterogeneous observations into temporally coherent, multi-source patterns rather than single spikes
  • Brand-specific state estimation that filters market footprints through a brand's products, customers, baselines, and constraints to infer demand shifts
  • Human-controlled decision intelligence that computes clear commercial decisions with action, reason, impact, risk, timing, and owner
  • Continuous learning loop that evaluates outcomes and updates the brand's response model after every decision
  • Coordination layer that supports human teams, agencies, or autonomous agents in executing decisions
  • Connector ecosystem that integrates with existing commerce, customer, marketing, product, inventory, and finance systems
This profile is AI-generated and may contain inaccuracies.