--- title: "AI Post-Sale Support Automation | StudioChat" description: "StudioChat automates order tracking, returns, invoicing and warranty claims, integrated into the systems the team already uses. See how Avera runs it." url: https://studiochat.io/post-sale locale: en translations: { es: https://studiochat.io/es/post-sale.md, pt: https://studiochat.io/pt/post-sale.md } site: https://studiochat.io --- FOR POST-SALE TEAMS # The sale already closed. What happens next decides if the customer buys again. Post-sale decides whether a customer returns. The best of that team, cloned: orders, returns, invoicing. [Talk to us now](https://cal.com/studiochat) [See how Avera uses it →](#proof) ACME Home Sol · assistant · online Agent Sol · working Live App Exchanges · Sol Running in production for Coderhouse Takenos Rebill Mudafy Avera Belo Toribio Achával Inarch WannaColive Coderhouse Takenos Rebill Mudafy Avera Belo Toribio Achával Inarch WannaColive PROOF, NOT PROMISES ## Avera runs its entire post-sale journey on StudioChat. [Avera logo](https://avera.mx) 24/7 end-to-end post-sale > “The entire post-sale journey is handled by Eva, our StudioChat assistant, connected to Amazon, Mercado Libre, our official store and WhatsApp. The team now focuses on the cases that truly need them.” Jaime Bravo CX & Post-Sale Operations Manager · Avera Live in production * Electronic invoicing * Order tracking * Shipping * Returns and exchanges [Read the Avera story](/case-studies/avera) EVERYTHING AFTER THE SALE ## Every task in the post-sale journey, handled with AI. Order status, returns and invoicing don't stop at 6pm — and they spike hardest during peak season, exactly when your team is stretched thinnest. 01 · 2 tasks The order in transit02 · 2 tasks When the product doesn’t hold up03 · 2 tasks When the customer writes again The bulk of the day’s volume: where is my order and where is my invoice. Two questions answered from the OMS and the carrier, not from a ticket queue. #### Order status & shipping Pulls live carrier and OMS data to answer "where's my order" the instant it's asked — no ticket, no wait. #### Invoicing Handles compliant invoice requests end to end — a high-effort, repetitive ticket type across LatAm. Returns & exchanges: Walks the customer through eligibility, generates the label, and confirms next steps. Warranty claims: Diagnoses the issue, checks coverage, and starts the claim without a back-and-forth. Payment disputes: Handles chargebacks and billing disputes with the transaction data already attached. Post-purchase upsell: Suggests the complementary product or the upgrade in the same conversation. Every channel, all year #### WhatsApp, email, and more channels Answers wherever the customer already reached out, in one consistent voice. #### Peak-season spikes Absorbs seasonal volume without a seasonal hiring plan. WHY NOW, WHY STUDIOCHAT ## Not another order-lookup bot. Your best post-sale rep, cloned. Most post-sale tools stop at "where's my order." We start from the person on your team who already resolves returns, invoicing and disputes well, and clone the whole journey. Clone ### Trained on your real playbooks, not a script. We capture how the best post-sale rep already resolves a delayed order or a return — tone included — and layer in the best practices we've seen across post-sale, by industry. End-to-end ### Owns the whole post-sale journey. Tracking, returns, invoicing, warranty and disputes in one assistant, not five point tools each owning one step. Always on ### One voice across WhatsApp, email, and more channels. Same context and tone regardless of which channel the customer picks — and no seasonal hiring plan needed for peak. AGENT SECURITY ## Security at every layer, from the model to the client's data. LLM security, agent security, client control, and infrastructure aren't the same layer — each protects something different, and the agent leaves a trail of everything it does along the way. LLM SECURITY — GUARDRAILS ### A protective layer around the model. A language model can make the wrong call — delete something it shouldn't, invent data that doesn't exist (like a bank account number), or let spend spiral out of control. Guardrails validate what the agent is about to answer before it answers, automatically or manually, covering hallucinations and prompt injection. CLIENT CONTROL ### The client decides what information reaches StudioChat. Every integration goes through a middleware layer the client configures — StudioChat can't see the data the client chooses not to share. Control stays on the client's side, by design. AGENT TRANSPARENCY ### The agent explains what it does, why, and where each fact comes from. The most common fear is that the agent does something and no one finds out. That's why every answer comes with its reasoning and its citations — no black box acting without leaving a trace. FREQUENTLY ASKED ## Questions post-sale teams actually ask. ### What exactly does "post-sale" cover? Any ticket type that shows up after checkout — for example: order status and shipping, returns and exchanges, invoicing, warranty claims, and payment disputes. Actual coverage depends on the playbooks the assistant is trained on, not a fixed list. ### Does it replace our helpdesk? No. StudioChat plugs into the helpdesk you already run — Intercom, Zendesk, or whichever you use — as a non-human agent, not a replacement platform. ### Can it adapt to tasks that require integrating with other tools or local market rules? Yes. Invoicing is a good example — it varies by country (like SAT rules in Mexico) and requires integrating with the systems already in use — but the same approach applies to any task that depends on an external tool or a specific local rule. It's configured per customer, end to end, the same way it runs for Avera. ### How is it priced? Outcome-based: you pay per resolved task, not per seat, not for setup. ### Do you have a reference customer for post-sale? Yes — Avera (avera.mx), a Mexican ecommerce brand, runs its entire post-sale journey (invoicing, tracking, shipping, returns) on a single StudioChat assistant. ## The playbook already exists. We multiply it. [Talk to us now](https://cal.com/studiochat) [Book a demo](https://cal.com/studiochat) [Or write to hey@studiochat.io](mailto:hey@studiochat.io)