Agents that resolve order status, returns, and delivery coordination end-to-end — connected to inventory, logistics, payments, and loyalty — and that turn service moments into revenue moments.
Retail communications are dominated by a few high-volume, data-backed intents — order status, returns, delivery changes — that customers want answered instantly, in their language, at 10pm during a sale.
Every service contact is also a revenue moment: a recovered cart, a loyalty nudge, a cross-sell. Fragmented bots and outsourced queues capture none of it.
Peak-season economics break human-only models: hiring and training seasonal agents for a six-week spike is the most expensive way to answer 'where is my order?'.
Start where value and feasibility intersect. Tags mark the lighthouse, the fastest path to production, and the plays partners lead.
| Use case | Value | Feasibility | Speed | Note |
|---|---|---|---|---|
Order status & delivery coordination (WISMO) Lighthouse | Highest volume, clean OMS/logistics APIs, instant CSAT impact | |||
Returns & exchanges end-to-end Highest volume | Policy-bounded actions: label generation, refund initiation | |||
Abandoned-cart & drop-off recovery Fastest to production | Direct revenue attribution; consent-governed outreach | |||
Product discovery & guided selling Executive value | Catalog grounding; measurable conversion lift | |||
Delivery-failure resolution & address fixes | RTO reduction is pure margin in COD-heavy markets | |||
Loyalty engagement & win-back | Segmented outreach from CDP triggers | |||
Marketplace seller support Partner-led | B2B intents: payouts, listings, penalties | |||
Post-purchase care & setup help | Warranty, installation booking, how-to | |||
Store associate assist | Inventory lookup, endless-aisle in store | |||
Promotional & campaign outreach | Governed frequency caps; suppression rules |
The loop runs itself: the conventional journey stalls, backtracks, and drags while the agentic one flows straight through — grounding, acting, and resolving with a human approval exactly where policy demands one. Pause anytime and click any node to explore that step.
Agent Platform orchestrates exception detection, conversation, policy reasoning, and write-actions into OMS/3PL systems.
If the retailer runs a CC platform, human escalations arrive there context-complete; GECX leads if the engagement is CC modernization.
Tilicho Labs runs the channel and voice layer and builds the 3PL/OMS integrations and category-specific configurations; its platform absorbs peak volumes on usage-based pricing.
Ops leads approve above-tier goodwill; disputes and fraud flags always route to people.
Customers: Told about problems before they notice, given real options in one thread, compensated fairly — festival peaks feel like off-peak.
Employees: Service teams stop being human middleware between OMS and 3PL portals; they handle disputes and exceptions with live context.
Thirteen dimensions where the operating models differ — from experience and speed to governance and measurement. Point solutions improve one channel; the agentic layer changes how the whole enterprise communicates.
| Dimension | Conventional operating model | Point solutions / partial automation | Agentic model on Google Cloud + Tilicho Labs |
|---|---|---|---|
| Customer experience | Queue, IVR maze, repeat yourself at every step | One channel improves; experience breaks at its edges | Recognized, understood, and resolved in the customer's language on any channel |
| Process completion | Conversation ends; a human re-keys the outcome later, if at all | Bot deflects to forms or articles; completion still manual | Agent executes the transaction in systems of record within the conversation |
| Speed of response | Minutes of hold; days for follow-up | Instant answers for scripted intents only | Instant engagement and resolution for the majority of intents, 24/7 |
| Cost to serve | $13.50 median per assisted contact (Gartner 2024) | Savings on deflected volume; escalations still full cost | Self-service economics ($1.84 median, Gartner 2024) on contained volume; cheaper escalations via triage |
| Revenue & collections impact | Coverage-limited: uncontacted leads and accounts decay | Campaign blasts without conversation or negotiation | Every lead and account engaged in minutes, negotiated within policy |
| Context retention | None — each channel and call starts from zero | Session-scoped memory inside one tool | State and memory persist across channels, sessions, and handoffs |
| Personalization | Script-level segments at best | Rule-based greetings and merge fields | Grounded in the customer's actual history, entitlements, and intent |
| Multichannel continuity | Voice, chat, and email owned by different teams and vendors | Continuity only inside the vendor's channel | One agent layer: start on WhatsApp, continue on voice, finish by email |
| Human-agent productivity | Agents toggle 5–10 screens; after-call work eats capacity | Assist widgets bolt onto an unchanged workflow | Humans receive triaged, contextualized escalations with drafted next steps |
| Enterprise-system integration | Swivel-chair: humans are the integration layer | A few hard-wired API calls per bot | Governed tool-calling into CRM, core, ERP, ITSM — permissioned per interaction |
| Governance & compliance | 1–2% call sampling; script discipline is the control | Per-tool logs; no cross-channel policy enforcement | 100% of interactions logged, policy-checked in-line, and auditable |
| Scalability | Hire, train, attrite — capacity lags demand by months | Scales within one channel until intents get messy | Elastic on Google infrastructure; peak marginal cost ≈ flat |
| Measurement & improvement | QA samples and quarterly surveys | Vendor dashboard for its own slice | Every interaction evaluated against golden sets; policies and prompts improve weekly |
Conventional: Queue, IVR maze, repeat yourself at every step
Point solutions: One channel improves; experience breaks at its edges
Agentic: Recognized, understood, and resolved in the customer's language on any channel
Cares about: NPS and cost per order
Wants: Service cost decoupled from order growth
Will object: Bots have burned us before
Proof that works: Containment + CSAT on one intent in 8 weeks
Cares about: Integration sprawl across OMS, WMS, logistics
Wants: One governed action layer over existing APIs
Will object: Our stack is a patchwork
Proof that works: Connector inventory + reference architecture session
Cares about: Queue times, seasonal hiring
Wants: 60–80% containment on top intents
Will object: Escalations will just get harder
Proof that works: Warm-handoff demo with full context transfer
Cares about: Cart recovery, retention
Wants: Conversational outreach with attribution
Will object: Outreach fatigue and unsubscribes
Proof that works: Frequency-capped, consent-governed campaign design
Cares about: RTO losses and delivery failure
Wants: Proactive coordination cuts failed deliveries
Will object: Logistics partners won't integrate
Proof that works: Partner-built connectors to major 3PLs
Channels and industry connectors are partner-built; the agent platform and models are Google Cloud; your systems of record and policies remain yours.
Google Cloud provides the intelligence: agents that reason over policies, history, and enterprise data, coordinate specialized agents, and execute governed actions — running in the customer's Google Cloud environment.
Interaction arrives on any channel — or the enterprise initiates outreach
Identity and permissions resolved; consent and policy windows checked
Intent understood in the customer's language, with full context retrieved
Agent reasons over policies, history, and enterprise data
Governed actions executed in systems of record — payments, bookings, tickets, updates
Humans brought in on sentiment, complexity, or policy triggers — with full context
Outcome written back; 100% of the interaction logged and auditable
Every interaction evaluated; policies, prompts, and workflows refined
Defaults reflect typical retail & ecommerce interaction profiles — replace them with yours. Every formula is shown; the pilot proves the containment rate before any scale decision.
WISMO + delivery coordination on WhatsApp and web chat, two languages, one region