E-commerce support is high volume and repetitive. Persistence deflects the routine calls — WISMO, returns, exchanges — so your human agents tackle only the complex ones.
Use cases
Persistence handles the calls that flood your support queue every day — while simultaneously running outbound campaigns that recover abandoned carts and win back lapsed customers.
Answers where-is-my-order calls instantly by pulling live carrier data, explaining delays, and sending tracking links — without a human agent ever picking up.
Handles return requests end to end: confirms eligibility, emails prepaid labels, and initiates refunds or exchanges — reducing return friction and repeat calls.
Answers product questions, checks stock and shipping timelines, and offers first-order discounts to convert callers into buyers before they hang up.
Calls shoppers who left items in their cart with a time-limited offer, answers final objections, and completes the order on the call — no coupon email required.
Reaches out after delivery to collect satisfaction scores, surface complaints before they become reviews, and offer resolution or loyalty credit proactively.
Re-engages lapsed customers with personalized reorder offers based on purchase history — reactivating churned buyers at a fraction of paid acquisition cost.
Business Impact
Real results from online retailers that replaced slow queues and frustrated customers with Persistence voice AI — fewer escalations, lower returns, higher repeat purchases.
What retail and DTC teams ask about voice support.
Yes, and it is the single highest-volume intent in retail support. The agent looks up the order while the caller is on the line and tells them the actual status rather than reading a policy. It needs access to your order system to do this — an agent that can only describe your shipping policy does not deflect these calls.
It connects to the systems holding your orders, customers, and tickets, so it can look up and write back during the call rather than creating work for someone afterwards. The integration is what separates a voice agent from a recorded message.
Returns are usually a good fit — checking eligibility, explaining the process, and starting the return are all rule-based. Refunds are where most teams draw the line, keeping approval with a person because the cost of a wrong decision is asymmetric and callers escalate anyway.
Peaks are the main reason retail teams deploy voice agents: capacity does not need to be hired six weeks ahead of a spike, and calls that would have been abandoned get answered. Test with the messy conditions peaks bring — frustrated callers, background noise, people ringing about three orders at once.
