Handle peak season without tripling the support floor.
Demand sensing, personalization, and CX automation that scales with the season — and learns from every interaction.
- Tickets resolved by AI
- 62%Tickets resolved by AI
- Customer interactions monthly
- 21MCustomer interactions monthly
- Forecast error reduction
- −28%Forecast error reduction
Retail demand is spiky, and headcount is not.
Contact volume in retail can multiply five-fold in a peak week, and the traditional answer — seasonal hiring — delivers the least experienced agents at the highest-stakes moment. Automation that resolves the routine tail end-to-end is what lets your experienced agents handle the cases that actually need them.
- Tickets resolved by AI
- 62%
- Customer interactions / month
- 21M
What makes retail different.
Every sector has constraints that decide whether a system reaches production. These are the ones we design around from day one.
Peak volume overwhelms support
How we handle it: Agents resolve routine post-purchase requests end-to-end, absorbing the volume spike without a proportional hiring cycle.
Brand voice must stay consistent
How we handle it: Tone and policy guardrails are enforced on every response, with a review sample surfaced daily to your brand team.
Promotions break demand models
How we handle it: Promotional calendars are modeled as explicit features, so a planned uplift is anticipated rather than flagged as an anomaly.
Personalization risks feeling invasive
How we handle it: Recommendation scope is configurable and consent-aware, with a clear boundary on which signals may inform an experience.
Where we typically start.
Ranked by the ratio of value to time-to-first-deployment in this sector.
AI concierge
Conversational agents that resolve order status, returns, and exchanges directly in your systems rather than deflecting to a form.
Demand sensing
Short-horizon forecasts reconciled across SKU, store, and channel, with promotional and weather signals modeled explicitly.
Personalized merchandising
Ranking and recommendation tuned to margin as well as conversion, with guardrails on inventory and category exposure.
Returns automation
Policy-aware returns adjudication with fraud signals, resolving the routine majority without an agent touch.
Catalog enrichment
Attribute extraction and description generation across large catalogs, with brand-voice validation before publication.
Store operations
Task generation, labor forecasting, and planogram compliance checks from store camera and POS signals.
Frameworks we work within.
We produce the control documentation and audit evidence as a delivery artifact, not as a follow-up project.
- SOC 2 Type II
- PCI DSS
- GDPR
- CCPA
Proof from a comparable deployment.
Grounding an AI research analyst on a decade of data
Atlas Capital
Analyst throughput doubled on coverage tasks and onboarding time for new hires dropped by half.
Read the full case study- Analyst throughput
- 2xAnalyst throughput
- Onboarding time
- −50%Onboarding time
- Answer grounding
- 97%Answer grounding
Capabilities we apply most in retail.
Thirty minutes on what is working in your sector.
A senior engineer and a strategist who have shipped in this domain. Bring your constraints — we will tell you honestly what is realistic.