Consumer and retail

Personalization and content

First‑party data, consent, and high‑quality content fuel relevant experiences. We implement feature stores and retrieval‑augmented content to tailor search, recommendations and creative across channels. Evaluation measures relevance, diversity and business lift, with controls for safety and bias. Content operations are productized: briefs, variants and brand safety checks flow through a governed pipeline so experimentation is fast but consistent. Journeys are measured end‑to‑end so teams see the incremental lift of each module rather than guessing.

Identity resolution and consent management underpin this system. We join event streams and profiles responsibly, respecting regional policies and user preferences. Preference centers and granular opt‑outs reduce regulatory risk while improving trust. Our approach yields practical wins—higher click‑through and conversion—without sacrificing responsibility.

Omnichannel operations

Inventory accuracy and promise reliability drive conversion. We integrate order management, store and fulfillment with real‑time events and predictive ETAs. Associates get task assistants that summarize priorities and answer product questions grounded in catalogs and policy. Store operations are instrumented like a fulfillment center: queue health, staffing, and service level adherence are visible on one pane of glass. Returns are treated as a first‑class supply source to improve availability and margins.

We standardize APIs for availability, pricing and promotions so channels behave consistently. When inventory is uncertain, we expose confidence and choose conservative promises to avoid cancellations. This reduces costly exceptions and improves CSAT.

Demand, supply and merchandising

We build demand sensing with streaming signals, weather and promotions. Forecasts feed allocation and replenishment models tied to constraints. Merchants get assisted planning with guardrails that reflect seasonality and local events. Dashboards show forecast error and stock‑outs by node with root‑cause analysis to guide action. Vendor collaboration portals close the loop so upstream partners see the same truth and can respond faster.

On the supply side, we model lead‑time variability and transportation risk. Safety stock is tuned dynamically, and substitutions are suggested when acceptable. The outcome is better availability with lower working capital.

Payments, fraud and customer care

Checkout is optimized for authorization rates and low friction while controlling fraud. Signals from identity, device, behavior and historical chargebacks are fused to make decisions in real time. Care agents use a retrieval‑augmented assistant grounded in policies and order data to resolve issues quickly with consistent outcomes. We track handle time, re‑contact rate and make‑good cost to ensure continuous improvement.

Case examples

Personalization uplift: Unified identities and launched recommendations with A/B testing. Outcomes: +12% conversion, +8% AOV and improved module CTR. Supply accuracy: Introduced streaming inventory signals and ETA models—cancellations down 23%, promise accuracy up 9pts. Care assistant: Reduced average handle time by 18% with policy‑grounded responses.