Retail technology — omnichannel commerce, customer analytics, inventory optimization, demand forecasting, and the real-time data platforms connecting online and in-store experiences. Xylity provides consulting, implementation, and pre-qualified specialists with retail domain experience across 20+ technology services — AI, data engineering, cloud, enterprise applications, and more.
Retail faces an omnichannel imperative: customers expect seamless experiences across web, mobile, in-store, and marketplace channels. Inventory must be visible across all channels. Demand forecasting must account for promotions, seasonality, and external factors. Customer data must be unified across touchpoints. And all of this operates on margins where a 1% improvement in demand accuracy saves millions in overstock.
Key regulatory and compliance considerations: PCI-DSS (payment data), consumer privacy (CCPA, GDPR), product safety regulations, labor regulations, ADA accessibility (digital and physical).
Each page below maps a specific technology service to retail-specific challenges, use cases, and deliverables.
AI, ML, RPA for retail operations.
Pipelines, warehouses, governance for retail.
Retail dashboards and reporting.
Cloud infrastructure for retail.
D365, Power Platform, SharePoint for retail.
CRM for retail customer management.
Xylity provides technology consulting across 20+ service areas for retail — including AI, data engineering, business intelligence, cloud, Salesforce, Dynamics 365, Power Platform, and RPA. Each service tailored to retail-specific regulations, processes, and challenges.
We select technologies based on your retail requirements — Microsoft Fabric, Databricks, Azure, Salesforce, Dynamics 365, Power Platform, and 50+ other platforms. Our consultants understand both the technology and retail domain requirements including: PCI-DSS (payment data), consumer privacy (CCPA, GDPR), product safety regulations, labor regulations.
Yes. Pre-qualified specialists with retail domain experience from 200+ delivery partners. 4-stage consulting-led matching. 92% first-match acceptance. 4.3-day average to first profile.
Technology consulting for retail — AI, data engineering, cloud, enterprise apps, and specialist talent with domain experience. 4.3-day average to first curated profile. 92% first-match acceptance.