E-commerce & retail

Market Research Agents

Agentic consumer-intelligence that converts mass customer signals into product-level actions for Merchandising and Marketing teams.

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Which dry facial towels are spiking in LA & Miami?

Product improvement from consumer data

Product improvement plans from reviews

Consumer-grade product improvement insights

Product improvement roadmap from social signals

Product improvement recommendations from demand data

Consumer feedback to product improvement

Assortment optimization from review insights

Market research notes

Product research notes

Consumer notes

Market research notes by region

Product research notes from reviews

Consumer notes from social sentiment

Show regional product chatter spikes

Detect viral stockout risks this week

TikTok mention velocity by SKU

Instagram trend acceleration report

YouTube review sentiment analysis

Trustpilot product demand signals

Stock allocation for viral products

Real-time demand radar by market

Reduced chatter: overstock alerts

Social signal to shelf decisions

Regional inventory recommendations

Algorithmic merchandising insights

Product-level intelligence feed

Marketing campaign sync to inventory

Cross-platform signal aggregation

Store-specific restock alerts

Social buzz to action timeline

Regional demand pattern shifts

Viral trend to inventory pipeline

Product mention spikes today

SKU-level social monitoring

Always-on product intelligence

Fast consumer goods tracker

Missing inventory opportunities

Which dry facial towels are spiking in LA & Miami?

Product improvement from consumer data

Product improvement plans from reviews

Consumer-grade product improvement insights

Product improvement roadmap from social signals

Product improvement recommendations from demand data

Consumer feedback to product improvement

Assortment optimization from review insights

Market research notes

Product research notes

Consumer notes

Market research notes by region

Product research notes from reviews

Consumer notes from social sentiment

Show regional product chatter spikes

Detect viral stockout risks this week

TikTok mention velocity by SKU

Instagram trend acceleration report

Data sources: TikTok, Instagram, Facebook, YouTube, Trustpilot

Signal acquisition to clean SKU data

Cycle compression: seasons to hours

The Data Arbitrage: real-time vs POS

Algorithmic merchandising automation

Hallucination-free SKU tracking

Solve the viral stockout gap

Operations cannot fulfill social demand

Miss nothing, see everything

Regional product distribution map

Immediate increased demand alerts

Turn social noise into decisions

Marketing + merchandising suggestions

Customized data overview dashboard

AI-powered insights engine

Real-time alert notifications

Actionable marketing recommendations

Improved merchandising decisions

Stock up before stockout happens

Avoid overstock on declining items

Units per store recommendations

Social media generates demand signals

Product intelligence platform

Market research agent queries

Regional spike in product chatter

Data sources: TikTok, Instagram, Facebook, YouTube, Trustpilot

Signal acquisition to clean SKU data

Cycle compression: seasons to hours

The Data Arbitrage: real-time vs POS

Signal → Merchandising Action

Signal

Coffee Machine T300: 320 signals flag shared usage-design flaw

Consumer reviews and social mentions reveal the same usage-based design failure across multiple markets.

Action

Launch lifetime usage investigation

Analyze real-world usage patterns to improve product design and customer satisfaction.

Signal

Dry facial towels: 340% spike in social mentions across LA & Miami markets

Detected surge across TikTok, Instagram, and product reviews. Current inventory won't meet projected demand.

Action

Increase regional stock allocation by 200 units per store

Merchandising team alerted. Marketing preps regional campaigns to capitalize on demand.

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