
It watches everything. Then shows what to do next.
A separate system that observes your whole business: when customers are active, what sells, who may leave, what competitors do and where you are heading. Every answer comes from your own data.
sources: chats, orders, payments, customersrevenue, orders, new leads · vs last 7 dayspeak = Fri 5–6 PM · Sat 12–1 PMtop seller = Wild Honey 500ginstagram vs whatsapp · revenue and reply timeexpected revenue with a likely rangedo next: 3 actions · confidence 85%What this agent does
It sees the whole business, so you do not have to dig.
Observes everything
Customers, orders, payments, products and channels. It keeps a daily eye on all of it.
Explains what changed
A short weekly briefing says what went up, what to watch out for and why it matters.
Tells you what to do next
Clear next actions with a confidence score, based only on your own GLIME data.
Step by step
Watch your numbers turn into decisions.
All numbers below are sample data. Watch them grow the way a busy business grows.
STEP 1 · DAILY BUSINESS PULSE
How your business is doing, right now.
Revenue, orders, new leads and new customers for the last 7 days, 30 days or this month, each compared with the period before.
- See the change against the previous period
- Revenue and orders drawn as one trend
- Ask Anaya why a number moved
REVENUE & ORDERS TREND · 7 DAYS
● Revenue ● Orders
STEP 2 · BEST TIME TO REACH CUSTOMERS
Send your message just before they arrive.
A heat map shows when customers write, when leads are won and when orders come in. The brightest squares are your best slots.
- Customer messages, leads won or orders
- Best slots listed in plain words
- Times shown in your own time zone
CUSTOMER MESSAGES · WEEK VIEW
Times are in Asia/Kolkata. Based on 1,284 customer messages.
STEP 3 · WINNERS AND SLOWING PRODUCTS
Know what sells and what is slowing down.
Top sellers ranked by revenue or by units sold, and a clear list of products whose sales are dropping against the previous period.
- Top sellers by revenue or units
- A "slowing down" list with the change
- Customer health: who is loyal and who is slipping away
TOP SELLERS · BY REVENUE
SLOWING DOWN
CUSTOMER HEALTH
STEP 4 · FORECAST AND NEXT ACTIONS
See where you are heading, and what to do.
The forecast shows the likely revenue and orders for the next 30 days, with a range. Then the agent lists the next actions, each with a confidence score.
- Set a goal and track whether you will reach it
- Forecast with a likely range and a confidence level
- Next actions you can discuss with Anaya
● Actual ● Forecast (shaded = likely range)
DO NEXT
Inside your dashboard
Every card has an Ask Anaya button.
A small sample of Business Growth Intelligence. Numbers are made up.
CHANNEL ROI
WEEKLY AI BRIEFING · EN / हिन्दी
COMPETITORS AND MARKET
DECISIONS
Part of a team
It reads what the whole team produces.
FAQ
Questions about Growth Intelligence.
What does the Growth Intelligence agent do?
It watches your leads, orders and payments and turns them into clear answers: how the week went, what is selling, who may leave, when customers are active, and what to do next.
Is it connected to the chat agents?
It is a separate system. It does not chat with customers. It observes the data that the other agents and your dashboard create, and it advises you.
Can it tell me the best time to message customers?
Yes. The Best Time card shows when customers write, convert and order, so you can send follow-ups and offers just before those times.
Does it look at competitors and the market?
Yes. You can add the competitors you know or let AI find them, and refresh Market Demand to see what customers in your area and category are asking for.
Does it make up numbers?
No. Every number comes from your own GLIME data. Where data is missing, it says so instead of guessing.
Can I get the weekly briefing in Hindi?
Yes. The Weekly AI Briefing can be switched between English and Hindi.
What is Ask Anaya on each card?
Each card has an Ask Anaya button. It lets you ask the AI Assistant a question about that exact card, such as why revenue went down.
Stop guessing. Start growing with data.
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