Cut costs and fraud with AI built for retail

Retail automation cuts customer service costs by orchestrating AI agents, bots, APIs, and human-in-the-loop to unify context across CRM, OMS, WMS, and payments, auto-resolve exceptions, and validate returns. This cuts handle time, reduces cost per interaction, and clears queues without adding headcount by eliminating system toggling for every issue.

Retail automation provides fraud detection by having orchestrated AI agents score transactions across POS and ecommerce, flag refund abuse patterns, trigger step-ups, and auto-compile chargeback evidence. This catches fraud earlier, cuts chargebacks, and prevents legitimate customers from getting blocked.

Retail automation handles pre-qual screening, application capture, KYC verification, dispute resolution, e-OSCAR responses, and payoff calculations. Orchestrated AI agents and bots manage intake, credit checks, and disputes with compliance checkpoints to speed approvals, maintain audit trails, and meet fair lending requirements.

Retail automation improves inventory and fulfillment through orchestrated agentic workflows that forecast demand, plan replenishment, manage store transfers, handle pick pack ship, optimize slotting, select carriers, and manage delivery exceptions. This eliminates stockouts and overstock while cutting carrying costs and improving delivery rates.

Retail automation performs price governance, markdown planning, promo setup, coupon validation, MAP compliance monitoring, price change alerts, and competitive tracking. It employs AI agents within orchestrated workflows to update prices, validate promos, track competitors, and flag compliance issues to protect margin and maintain vendor trust.

Retail automation supports back-office operations by capturing invoices, performing three-way matching, updating prices, syncing catalogs, and onboarding vendors. Agentic process automation orchestrates AI agents and bots to handle these tasks with compliance checkpoints to cut invoice costs, improve close speed, and scale capacity.

Retail automation integrates across CRM, OMS, POS, payments, and risk engines with purpose-built AI agents orchestrated within agentic workflows that guide service, score fraud, process store credit and loans, and clear queues. This connects and orchestrates the entire retail stack without adding staff.

Retail automation improves service agent productivity through agentic process automation that handles omnichannel intake, acts as agent co-pilot, recommends next best actions, triages emails, routes based on sentiment, approves returns, and surfaces knowledge. This reduces cost-to-serve while improving customer satisfaction.