Consumer & Retail
Consumer businesses live and die on signal — demand, sentiment, and the next best action. We wire generative AI and predictive models into support, planning, merchandising, and marketing, so teams act on the moment instead of assembling data about it.
Retail and consumer brands generate more first-party signal than they can use — transactions, browsing, reviews, support tickets, campaign results — while the teams that need it spend most of their time pulling and reconciling data rather than acting on it. The gap between an insight and an action is where margin and moments are lost.
AI closes that gap: grounded assistants that answer customers and staff from real data, forecasts that explain themselves, and content operations that scale without losing brand safety. We build it to respect customer-data privacy and to keep a human on brand-sensitive and high-value decisions.
What's forcing the change
- Margin pressure and rising cost-to-serve
- Fragmented first-party data and slow insight-to-action
- Support volume spikes and thin staffing
- Content and merchandising at ever-larger catalog scale
AI solutions for Consumer & Retail.
Support assistant
A RAG assistant answers from your help center and live order data with citations, and hands nuance to a human agent.
Demand forecasting
Explainable per-SKU forecasting to cut stockouts and excess inventory, with planner-owned overrides.
Marketing performance
Unify signals across channels and surface next-best-action with generative insight for marketers to approve.
Catalog & content automation
Generate and QA product content and merchandising at scale, with brand-safety guardrails.
Consumer intelligence
Grounded analysis over reviews, sentiment, and behavior — turning unstructured signal into decisions.
Grounded assistants, forecasts, and content tools share one platform — unified on your first-party data, guarded for brand safety and privacy, and integrated with the commerce and marketing stack you already run.
Typical outcomes
- Insight-to-action gap closed across teams
- Support scaled without trust-destroying errors
- Content and planning at catalog scale
Every system is architected to your regulatory surface, with controls and audit trails built in.
Related success stories.
Support that cites its sources
Forecasting demand where it's decided
Questions from Consumer & Retail teams.
Explore other sectors.
Bring us a hypothesis. Leave with a system.
Tell us what's eating your team's time. We'll give you an honest read on whether AI is the right tool — and if it is, a scoped v1 with a timeline and cost.