Signals arrive in separate places
Chats, reviews, stock, refunds and product changes may look routine in isolation. Together, they reveal whether a seller has a customer-service issue, an inventory risk or a trust incident forming.
Catch seller risks before they become refunds, rating drops and lost GMV.
Pasar Pulse is a governed AI operations product for Southeast Asian marketplace sellers. It watches store signals, diagnoses what changed, auto-handles low-risk work and asks the seller to approve higher-risk actions before they happen.
Explore the case studySee the operator make a safe call
Small seller teams run real-time operations.
Marketplace sellers do not need another dashboard. They need an always-on operator that can connect a buyer complaint to stock, product and refund context—then know which work is safe to handle and which decision must stay with the seller.
Pasar Pulse started with an operational question: how might a seller respond faster without losing control when an action could affect trust, inventory or margin?
Ten negative reviews arrive in an hour. Buyers say the Brazil 2026 Home Jersey is not authentic, and several are requesting refunds. A normal seller dashboard shows the individual alerts. Pasar Pulse pulls the pattern together, recommends a response, and asks the seller before pausing a SKU or issuing buyer assurances.
Response quality depends on attention
During campaign traffic, a five-minute reply can become hours of manual triage. Slow, inconsistent replies create more friction precisely when buyers need clear local-language help.
Not every action is safe to automate
Pausing a SKU, changing a price, responding to an authenticity complaint or handling refunds can protect the business—or cause damage. The seller needs a clear say before consequential work happens.
The marketplace opportunity raises the cost of missed signals.
US$300B+
ASEAN digital-economy GMV forecast for 2025
At regional scale, seller operations cannot rely on a person noticing every weak signal in time.
US$71B
Indonesia e-commerce GMV forecast for 2025
E-commerce is the country’s largest digital-economy contributor—raising the cost of slow operational decisions.
800k
online sellers and shops in Indonesia video commerce
The 2025 report shows a seller ecosystem where customer conversations and operating signals keep multiplying.
Sources: Google, Temasek and Bain, e-Conomy SEA 2025 and Google Indonesia, e-Conomy SEA 2025.
Autonomy should act quickly and wisely.
Pasar Pulse is designed as a governed AI agent, not a generic seller chatbot. The operator connects changing marketplace signals to an actionable recommendation; the seller defines the risk boundary, and the system carries routine work forward while escalating consequential decisions through Telegram.
01
Detect the signal, then diagnose it
Pasar Pulse brings chats, reviews, inventory, product and action data into one seller console. It identifies high-risk authenticity incidents alongside routine low-risk activity, so the right work reaches the right path.
02
Route work by risk, not by guesswork
Sizing guidance, review drafts and feedback logging can be handled automatically. Margin, stock, refund and trust decisions are sent to Telegram with proposed actions for seller review.
03
Turn seller feedback into operating memory
The seller can approve, reject or refine a recommendation. That choice updates Pasar Pulse’s seller-policy memory, so the next recommendation reflects the store’s stated operating preferences.
Governance is the product
Move routine work quickly. Keep risk visible and reversible.
- Low-risk work and high-risk actions follow different automation paths.
- The seller chooses whether Pasar Pulse asks first, auto-handles low-risk work or runs in full-auto mode.
- Sensitive recommendations are sent to Telegram with one-tap actions or room for a custom instruction.
- Recommendations, approvals and feedback are persisted as an auditable trail in Pasar Pulse.
The intended impact
Seller chaos becomes governed, measurable action.
Pasar Pulse turns manual seller operations into governed, measurable action: faster routine responses, earlier risk detection and seller-controlled automation for consequential decisions.
Buyer response
−70%response time
for routine buyer issues
Pasar Pulse moves repeatable questions from manual triage to near-real-time handling, so sellers can respond while the buyer’s purchase intent is still active.
GMV protection
−35%leakage
from refunds, stockouts and trust incidents
By finding operational risk earlier and keeping consequential actions reviewable, Pasar Pulse aims to protect GMV before a small issue becomes a costly event.
Governance feature
3approval modes
ask first, auto low-risk or full auto
Pasar Pulse makes autonomy a selectable policy rather than an all-or-nothing switch, while keeping seller feedback available for future recommendations.
Want to move seller operations from dashboards to governed AI?
Analytico AI designs agentic workflows around your team’s signals, policy boundaries and measurable business outcomes.