Achadu finds and verifies deals, understands shopper requests, prepares and distributes posts, and attributes results to their source. Five connected stages form one complete workflow.
Modules share the same context. What Shopper listens to influences the curation; what sells improves the next recommendation; what fails returns as an alert to the operator.
DU understands the request, finds an offer from your own store, uses the correct affiliate link, and delivers the entire context when a person needs to take over.
DU Inbox3 active conversationsI want a large air fryer within my budget
DUI found three verified options on your storefront. The best one is within the budget and already has the correct link.
Monitoring, price history, offer confidence and compatible coupons before publication.
You choose any connected catalogue, the niche words, the price range and how often to look. TikTok Shop, CJ, Shopee, Mercado Livre, Amazon, eBay, impact.com, Awin and Rakuten enter the same Radar, always with the currency returned by the source.
Everything that comes in goes through the Showcase: import via link, search in any connected catalog or register by hand. You approve, reject, see the preview and publish in one click.
Before recommending, Achadu brings together signals that help separate real discount from promotion just in title: price and availability history, origin reputation, link quality and product consistency between stores.
Register coupons with the rules that actually exist: fixed or percentage discount, minimum order, ceiling, category and validity. For each offer, Achadu calculates which ones are compatible and orders them by estimated savings.
Shopper, DU Inbox, CRM, requests without results, own website and links marked with your commission.
On your website, the person describes what they are looking for or sends a photo. Shopper identifies the item, matches intent with budget and preferences, and searches only among the offers you've published — always isolated in your operation.
When there isn’t a good option, the conversation doesn’t end with “I didn’t find it”. It becomes a prioritized request on your dashboard. New publications are compared with the queue and a compatible combination becomes an opportunity for the operator.
When someone calls the administrator privately, DU organizes the conversation, understands the intention and only searches the offers for that operation. It suggests the answer, includes the correct affiliate link, and hands off with full context when needed.
Each conversation forms a useful record, without becoming a spreadsheet of generic leads. Preferences, budget, desires, labels, stage and history help to respond better and are isolated in the operation of the store itself.
Paste a link or search for a product. Achadu chooses the connector route, maintains its identifier and never exchanges the commission for a system credential. If approval or ID is missing, please notify us before publishing.
Open any product in Chrome, tap Achadu and send the page to Showcase. The extension captures the canonical URL, title, and public image; price, commission and availability continue to be checked in the system before publishing.
Set up your offer store, blog, link page and campaigns with your brand. You work on a draft, publish it when it's ready and you can go back to a previous version without dismantling what was already live.
Copy, creatives, segments, agenda, pilot and conversational journeys working in the same flow.
The AI writes the copy based on the title, price, discount and coupon: two or three lines, concrete, in the tone of someone recommending it to a friend. No promise of health, no "unmissable", no dash.
Good morning, notice, coupon of the day or offer: once, every day, every week or every N hours. And the automatic pilot by segment: at each interval, within the window you choose, the best approved offer comes out alone.
A segment is your niche: it contains its groups, rules, and autopilot. Publishing groups receive deals; monitoring groups track joins and exits. One number can serve multiple segments, and the public site gets one page per segment.
Choose a deal and its Story creative is generated with the photo, original price, discount, coupon, and your brand in six 1080×1920 templates. Creative Studio also includes your /bio: an editable mini-store built in the same site editor.
A group of your own with the connected number. Send /publicar <link> #segmento, /converter <link>, /cupom shopee CODIGO or /status and Achadu responds there, without opening the platform. Contingency: if number 1 falls, 2 takes over.
The person enters with Meta, chooses the Page and activates Instagram, Messenger or both. DMs, Page messages, comments and postbacks reach DU Inbox; the response goes out through the same channel without copying token or mixing operations.
A visual builder connects triggers and actions: message received, search without result, price drop, conversation ended or VIP contact. Each journey respects quiet hours, contact limits and the chosen level of autonomy.
Analytics, heatmaps, private demand, commission origin and recommendations with visible reasons.
Achadu crosses commission, observed conversion, offer confidence, affinity with the group, time and recent repetition to suggest the next send. The recommendation shows the reasons and separates evidence from hypothesis.
Publication, click, audience, product, approved commission, and actual payout remain connected in one audit trail. Each program’s cookie window preserves purchases reported days later, while the bank statement confirms what actually reached your account.
Sends by day with period, segment, group and state filter, and export in CSV. Group analysis: entries, exits, balance and engagement by group. Commissions per store, with Shopee synchronized.
Reading connects page, button, block, position, product, message and group. Measurement only starts after consent when this option is active, and the operator chooses how long to keep the events.
Store and bio page gain an aggregated visual map of clicks. Points are normalized to remain comparable across different screens, without recording typed text, IP, or a replay of the session.
Record the actual terms of each program your account was approved for and compare side by side. The source and conference date are visible; after 90 days, Achadu requests a new official confirmation.
The connected number counts the volume of messages from each group, day by day, without reading anyone's content. Crossed with inputs and outputs, Achadu calculates the correlation (too much noise scares people away) and the AI reads the numbers and returns a concrete retention action. There is also the evasion report: who entered and left within 24 hours.
The graph connects products that work together, serve as accessories or can replace one another. For recurring items, you confirm the repurchase cycle and Achadu shows the next windows when there is a registered purchase.
What people ask for in private becomes a demand radar. The panel brings together trending terms, repeated questions, orders with no product yet, sentiment and assisted revenue to guide curation and service.
Automatic SEO, campaigns, smart invites, capture pages, and full-funnel fraud protection.
Capture page ready by niche (/vip/seu-nicho), with Meta and Google pixel, Lead triggered by the server via Conversions API and the asset that no advertisement has: the connected number sees who ENTERED the group. The funnel shows clicks × actual entries, head by head.
Every click on your invitation goes through anti-fraud before counting: robot, crawler and repeated click are redirected normally, but do not enter the funnel and do not trigger the pixel. The Lead who trains your Meta campaign is just real people.
Each product, collection and guide receives a title, description, canonical URL and structured data consistent with the published content. The dashboard shows what is complete and what still needs real information.
The operation can be connected to AI agents, internal products and automations via REST, remote MCP or CLI. Each key belongs only to the account that created it, is given explicit scopes, and can be revoked on the fly.
The dashboard shows the evidence, the level of uncertainty and the decisions that still depend on the operator.
Before recommending, the system needs to know what it is looking at.
Recognize the same product in offers from different stores without combining items just because the name sounds the same.
Summarizes price, availability, reputation, and link quality in an explained note.
Remembers budget and preferences with pseudonymous, revocable and isolated identity per store.
Records compatibility, accessories, substitutes and repurchase cycles with auditable confidence and evidence.
More than ordering by discount: understanding audience, moment and return.
Learn categories and price ranges that work for each audience, always showing the sample size.
Flags trends by category and segment to prepare curation before the peak.
Compare stores selling the same product and consider price, commission, trust and observed performance.
Separate coincidence from real change before escalating a decision.
It compares treated and control groups and makes it clear when the data do not yet allow us to confirm the cause.
It shows when a publication helped or took away space from another, avoiding confusing exchange with growth.
Test price ranges in a controlled way and measure incremental gain, without changing everything at once.
Anticipate problems, explain deviations and preserve purchase intention.
Look for dips and divergences in the journey and point out hypotheses with evidence, even when the sample is small.
Simulates the grid before changing and compares suggestions with human decisions; Never publish alone in this mode.
Reroutes failures, uses contingency and preserves the order when an offer disappears or changes price.