Transform Retail Operations
with Human-in-the-Loop AI Solutions

Your returns desk processes 200+ items a day — each one needs a receipt match, condition inspection, inventory update, and refund trigger across three different systems. It takes 15 minutes per return, the refund cycle averages 9 days, and every day that item sits unprocessed it loses resale value on the shelf. Our AI reads the receipt or label, validates the RMA against your OMS, checks return window and item condition, fires the refund to your payment processor, and pushes the SKU back into available inventory — all in under 3 minutes. During holiday surge, that is the difference between clearing the queue by close and hiring 12 temps.

"Where is my order?" is the single most common reason customers call, chat, and email you — it accounts for 25-50% of all service contacts. Every one of those tickets costs $5-8 in agent time, and the agent is just copying a tracking number from one screen to another. Our AI pulls real-time carrier data from UPS, FedEx, USPS, and your ship-from-store systems, resolves 80% of WISMO inquiries in under 30 seconds, and proactively pushes delivery updates via SMS so customers never need to call in the first place. During Black Friday and Cyber Monday, when WISMO volume spikes 3x, this is what keeps your AHT from cratering your NPS.

Staffing a call center through Black Friday is a nightmare — you hire 50 seasonal reps in October, spend three weeks training them, and half quit by January. Meanwhile, 70% of what they handle is routine: loyalty points balance, store hours, BOPIS pickup windows, product availability by location. Our AI voice and chat agents handle all of that 24/7, across every channel, with instant access to your POS, inventory, and CRM. Your human agents focus on the calls that actually need a human — complaints, chargebacks, and upselling. The result: you stop over-hiring for peak and your CSAT stops dipping every Q4.

Your LP team has 200 cameras and two monitors. They review maybe 1% of footage, and ORC rings know it. Self-checkout shrinkage alone costs the average big-box location $150K a year in miss-scans, sweethearting, and ticket switching. Our AI watches every feed, every second — flagging scan-to-bag mismatches, after-hours door activity, and repeat offender patterns with timestamped, evidence-grade clips. Floor LP gets an alert on their phone before the person leaves the store. No false accusations, no lawsuits — just data-backed intervention that cuts shrinkage by 5%+ across the fleet.

Your regional VP wants to know which stores have the worst sell-through rate on winter coats so she can decide on markdowns before the season ends. Today that is a Slack message to analytics, a ticket in Jira, and a spreadsheet three days later. With our NL2SQL layer, she types the question in plain English and gets the answer in seconds — pulled live from your POS, inventory, and pricing systems. No analyst bottleneck, no stale data, no exporting CSVs. GMROI, sell-through by SKU, planogram compliance, markdown velocity — all queryable by anyone with a login.