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Solution · Sales

Which shops could buy more from you?

AI Agents analyse every shop each night. By morning, each salesman knows which shops could buy more, and what to offer them.

See how it works
±400 → 0 hrssalesman time per round of analysis
2–4xmore accurate than analysis by hand
Every nightevery shop analysed, ready by morning
Today’s visitsBudi

3 opportunities found last night

Toko Sumber Rejeki≈ Rp 9.6m
Stopped buying a regular itemOffer the 2-door fridge 420 L
Toko Cahaya Elektronik≈ Rp 3.4m
Category not stocked yetIntroduce chest freezers
Toko Makmur Jaya≈ Rp 5.2m
Room for more quantitySuggest 8 washing machines
AI Agents found it overnightRupiah value of every opportunity

How it works

Every night, with nobody pressing a button

From your data at night to the salesman’s to-do in the morning.

  1. Night

    The data loads from your ERPOrder history for every verified shop. Nobody types anything.

  2. Through the night

    AI Agents check every shopSide by side, each with one of your rules.

  3. Before dawn

    Every opportunity gets a rupiah valueThe biggest come first.

  4. Morning

    It’s on the salesman’s to-doHe arrives knowing what to offer, and to whom.

AI Agents

Four AI Agents, each with one of your rules

You decide what counts as an opportunity. Add your own rules any time.

AI Agent 1

Regular items no longer bought2-door fridge, not ordered for 4 months14 found last night

AI Agent 2

Categories not stocked yetBuys fridges, but no chest freezers yet9 found last night

AI Agent 3

Room for more quantityWashing machines 4 → 8 a month, for a shop this size11 found last night

AI Agent 4

Your own ruleFor example: new shops, first full order4 found last night

The app

What your team sees

From the shop’s opportunities to a salesman’s to-do, in a few taps.

sales.perusahaan-anda.id/pelanggan/toko-sumber-rejeki/peluang/kulkas-2-pintu-420
CustomersBBudi

‹ Opportunities

Not reordered

2-door fridge 420 L

ARKANA · FRIDGES
Rp 9.6m/mo1–2 months: Rp 9.6–19.2m
Where Rp 9.6m/mo comes from
Usuallyone order of Rp 14.4m every 1.5 monthsRp 9.6m/mo
Last 4 monthsJul–OctRp 0
Purchases · 18 months (units)bought in 10 of 18 months
usually 54 months without an order
6May
–Jun
8Jul
6Aug
–Sep
7Oct
8Nov
–Dec
6Jan
9Feb
–Mar
6Apr
7May
5Jun
–Jul
–Aug
–Sep
–Oct
One usual order Rp 14.4m ÷ every 1.5 months = Rp 9.6m/mo+ Create to-do
1234
  1. 1The value, per monthEvery opportunity is priced, so the biggest are chased first.
  2. 2Compared with the shop’s habitNot a guess: what this shop usually buys, against what it bought lately.
  3. 318 months of historyYou can see the month it stopped.
  4. 4One tap to a to-doStraight onto the salesman’s visit plan.

Example screens with illustrative data. Names, brands and numbers are not real.

Proof

The result at a real distributor

Case study: shop opportunity analysis

About 400 salesman hours before. Now 0 hours, done in the background.

BeforeNow
People
Every salesman doubles as an analysteven though it isn’t their skill
0 people on analysissalesmen just act on it
Time
±400 hoursof salesman time per round,
1–2 hours × every shop
0 hoursruns by itself every night, ready by morning
Result
Accuracy1x
often off, data scattered
Accuracy2–4x
all data combined automatically

Figures from the client’s own records. ±400 hours is 200–300 shops at 1–2 hours each, for one full round of analysis.

Want the details? Ask us in a free consultation
Sales App · peluangWhere the AI Agents run and the opportunities show
To-doEvery opportunity becomes a salesman’s to-do

Find out which of your shops could buy more.

In a free consultation we look at your shops and your data, and show what the AI Agents would find.

Free consultation