Application for store employees reporting about problems with on-shelf items

Hi Andrew!
Store search
{1681} Costco Palm Beach Gardens
Miami, FL
{2135} 7-Eleven
Chater rd, Hong Kong
{4623} LuLu Bekasi Mega Mall
Jl. Ahmad Yani, Jakarta
{6525} Lidl Rua Maria da Fonte
Av. Cel. Eduardo Galhardo, Lisboa
{6525} MM Migros
Sancaktepe, İstanbul
{6525} Carrefour
Silverene Towers, Dubai
Tasks for checking products on the shelf
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Hi Andrew!
Store search
{1681} Costco Palm Beach Gardens
Miami, FL
{2135} 7-Eleven
Chater rd, Hong Kong
{4623} LuLu Bekasi Mega Mall
Jl. Ahmad Yani, Jakarta
{6525} Lidl Rua Maria da Fonte
Av. Cel. Eduardo Galhardo, Lisboa
{6525} MM Migros
Sancaktepe, İstanbul
{6525} Carrefour
Silverene Towers, Dubai

Artificial intelligence finds on-shelf problems

AI selects the top-priority tasks for your employees

Price tag replaced
Item #6754532 Coca-Cola Coke (32) @ 12 oz.
The price tag has been damaged
items on the shelf
Item #2541435 Cheese Tillamook\
Less than 3 items on the shelf
Price tag set
Item #675343 Coffee Java Trading \
No promo price tag
Added to the warehouse
Item #675343 Milk Silk
Out of stock
Ценник заменен
Item #6754532 Coca-Cola
The price tag has been damaged
Ценник заменен
Tовара #354324 “Сок Наш сад”
Нет в наличии на складе

Recording progress

Store №8181
Store №8181
Store №4356
98%
tasks completed
Store №8181
98%
tasks completed
Store №8181
Магазин №4356

Assess results

Store #24904 Cotsco
New York, Manhattan
Saved sales rate 1%
12% more than last month
1%
Sales recovery rate 3.5
3 times faster than last month
3.5
Lost sales calculation 2.5 million rubles
5% less than last month
2.5
million rubles

The effect

Нужен короткий мотивирующий текст в несколько строк

Top-priority tasks related to a lack of items
Control over display of items on the shelf
Increase in sales recovery rate
Increase in turnover

Как работает

Нашими клиентами являются свыше тысячи торговых точек, и список постоянно пополняется

How it works

Our clients are 1000+ retail outlets and the list is constantly growing,
STEP 1
Client data integration
STEP 2
Received data processing, cleaning and optimization
STEP 3
Training sales anomaly detection model using 100+ features
STEP 4
Creating and prioritizing tasks to fix problems with on-shelf items
STEP 4
Collecting results into visual systems or preparing them for your data marts

We need

Your customer data such as prices, working hours, stocks balances, shopping guides, etc.

We provide

User-friendly application for any deviceAnalytics in mobile or web applicationIntegration with your resources

Help with business processes

Increased on-shelf items availability
Identification of virtual stocks affecting auto order before
inventory
Provision of data that helps auto order systems work more
accurately by focusing on actual demand

Our advantages

Our clients are 1000+ retail outlets and the list is constantly growing,

High integration speed

Extensive implementation experience allows us to integrate systems as soon as possible - from 2 days

We work based on machine learning technologies

Automated algorithm finds problems on the shelf with over 80% accuracy

Ease of handling

User-friendly application for store employees allows you to complete tasks quickly

Flexibility and transparency of reporting received

In-depth service work analysis presentation (both in its own BI system and integration with client systems) allows you to see into each issue on the shelf

How to connect?

STEP 1
Contact us via e-mail. A personal manager will be assigned for you.
STEP 2
Get configuration files with completion examples. According to the given rules we will exchange data.
STEP 3
Send sample files according to the configurations sent earlier.At this stage we check the file content and confirm its consistency.
STEP 4
Set up regular data uploads.If necessary, our team may provide you with support for connecting to our service.
STEP 5
Get access to the task application and web interface.Now your team may start to work.
Contact us today to schedule a personalized demo ahead of the event. Your future starts now!
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