All use cases

Engage / Lifecycle

Memory-segmented lifecycle marketing for grocery and retail

The restock reminder lands the week the household actually runs out, and the new-arrival ping reaches only the shoppers who'll want it — because the agent remembers what each one buys.

Get aheadClose the loopSystem triggerTime-based triggerBehavioral triggerPushWhatsAppEmailIn-appE-commerce & Retail

What it does

Grocery and retail marketing leaks money in both directions: a restock prompt that arrives a week too early gets ignored, a week too late loses the reorder, and a broad new-arrival blast annoys far more people than it sells to. The hard part was never writing the message — it was knowing who to send it to and when. Every order and every conversation already says it: this household replenishes coffee every three weeks, this shopper is vegan, that one flagged a nut allergy, another only buys one brand. The agent turns that purchase memory into the segment, times each send to the household's own replenishment cadence, and routes it to the channel that shopper prefers, so lifecycle marketing stops being spray-and-pray and starts landing.

How it works

  1. 1
    Trigger. a lifecycle event fires — a household reaching its predicted replenishment point on a staple, a new arrival matching a known preference, or a scheduled seasonal campaign.
  2. 2
    Decision. the agent queries purchase memory for the shoppers whose replenishment cadence is due now or whose stated dietary and brand preferences match the item, builds the segment, and drafts a per-shopper message grounded in what they actually buy.
  3. 3
    Action. the marketing team reviews the segment and the message on a prep surface and approves; sends go out through the client's own channels — push, WhatsApp, email, or in-app — on the surface each shopper prefers.
  4. 4
    Follow-through. at send time the segment is re-derived, so a shopper who already reordered, opted out, or changed their basket drops out before a message fires; replies land back in the conversation with full context, and results are compared against the team's usual targeting.
Example
AgentYou usually reorder oat milk and the dark-roast beans about now — you're a few days out by your pattern. Want me to drop both into a basket for your next delivery slot?
CustomerYes to the oat milk, but skip the beans, I'm trying a new one this month.
AgentDone — oat milk's in your basket and I've noted the change on the beans so I won't remind you on the old one. Anything else before you check out?

Configuration

How the agent is wired for this use case.

Triggera lifecycle event — a replenishment_due prediction on a staple SKU, a new_arrival matching a preference cohort, or a scheduled campaign_created — from the client's commerce platform or campaign tooling.
Tools & actions
  • Order/purchase history · read each household's buying cadence and basket composition to predict replenishment timing and build the segment
  • Preference memory · recall stated dietary needs (vegan, allergies) and brand preferences to target only the right cohort
  • Campaign/CRM tooling · assemble the segment and per-shopper draft on a prep surface for marketing-team approval
  • Catalog/inventory feed · confirm the staple or new arrival is in stock and available in the shopper's delivery area before targeting
  • Messaging channel · send the approved restock, new-arrival, or seasonal message on each shopper's preferred surface
Autonomysegment-building, replenishment-timing, and message drafting run unattended under judge gating; a human approves the segment and the message before any send, and the segment is re-derived at send time so stale rows never fire. No autonomous money movement — the message orchestrates the shopper to a basket and the client's own checkout.
Channelspush · whatsapp · email · in-app
Escalationa reply that turns into a complaint, a delivery problem, or a question the campaign flow can't resolve hands off to support with the conversation and order context attached.

What you need

The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.

Signals

order and replenishment events, new-arrival and campaign events, plus the purchase and conversation memory the agent already maintains

Data

per-household purchase cadence and basket history, stated dietary and brand preferences, marketing consent per channel, current order state to exclude shoppers who already reordered, delivery-area availability

Guardrails

a human approves segment and message before anything sends; per-channel marketing-consent checks; frequency caps shared with every other outreach stream; allergy and dietary preferences treated as hard exclusions, never just hints; segment re-derivation at send time so stale rows drop out; the client keeps owning the send channels

Metrics it moves

  • conversion-rateup: a restock prompt timed to the household's own cadence, on the right channel, converts where a calendar blast does not
  • open-rateup: "the thing you reorder is due" and "a new arrival in the brand you buy" outperform any broadcast subject line
  • opt-out-ratedown: precisely targeted, genuinely useful sends replace the spray-and-pray volume that drives unsubscribes

See it on your own customer journey

Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.

Book a demo