Every store is an island
Sales from each store, the online shop and marketplaces live in different systems, and comparing them means building spreadsheets by hand.
Industries · Retail
Data and AI for retail: all your stores in a single dashboard.
We bring together sales from your stores and your online shop, show you which store, category or product performs and which doesn’t, and anticipate what to restock in each location.
The challenges we see
What holds companies like yours back
Too much stock in one store, too little in another
Without a view of inventory by store, it’s hard to decide what to restock, what to transfer and what to clear out.
Margins that slip away unnoticed
With prices and costs changing often, discounts and promotions can eat up the margin of an entire category.
Decisions based on last month’s data
Reports arrive late and don’t show the average ticket or how each store or salesperson is performing.
How ready is your data? Take the 2-minute AI readiness check
What we build
Solutions designed for your business
Sales dashboard by store
Sales, margin, average ticket and units by store, category and salesperson, compared with last year and with target.
Replenishment by store
A demand forecast that suggests what to restock in each store and what to transfer between locations.
See the sample dashboardOnline and in-store sales together
Sales from your online store and marketplaces alongside your stores’ sales, with a single inventory and a single number.
Inventory and margin alerts
Notifications when a product is about to run out or when a category sells below its expected margin.
See AI solutionsKPIs
What we measure
We define the key KPIs with your team and calculate them every day with the same rules.
- Sales by store and per square meter
- Average ticket and units per ticket
- Margin by category and product
- Inventory by store and days of coverage
- Stockouts
- Turnover and slow-moving products
- Online store and marketplace sales
- Results of each promotion
- Sales by salesperson
Demand forecast · Central warehouse
Sample data
- Horizon: 8 weeks
- Category: All
- Warehouse: Central
- Forecast accuracy
- 92.4% ▲ 6.1 pp vs. previous method
- Forecast demand (8 wks)
- 231,600 units ▲ 12.5% vs. last 8 wks
- Products at risk of stockout
- 37 ▼ 12 vs. last week
- Estimated overstock
- $2.3M ▼ 18% vs. last quarter
Weekly sales and forecast
Thousands of units
- Actual
- Forecast
- Likely range
18
22
26
30
34
Forecast
30.5K
View data
| Week | Actual (thousands) | Forecast (thousands) | Likely range |
|---|---|---|---|
| Week 1 | 21.2 | — | — |
| Week 2 | 22.0 | — | — |
| Week 3 | 21.6 | — | — |
| Week 4 | 23.1 | — | — |
| Week 5 | 22.8 | — | — |
| Week 6 | 24.0 | — | — |
| Week 7 | 23.5 | — | — |
| Week 8 | 22.9 | — | — |
| Week 9 | 24.6 | — | — |
| Week 10 | 25.1 | — | — |
| Week 11 | 24.3 | — | — |
| Week 12 | 25.8 | — | — |
| Week 13 | 26.2 | — | — |
| Week 14 | 25.5 | — | — |
| Week 15 | 26.9 | — | — |
| Week 16 | 27.4 | — | — |
| Week 17 | — | 27.9 | 27.1 to 28.7 |
| Week 18 | — | 28.3 | 27.2 to 29.4 |
| Week 19 | — | 27.6 | 26.3 to 28.9 |
| Week 20 | — | 29.0 | 27.4 to 30.6 |
| Week 21 | — | 29.4 | 27.6 to 31.2 |
| Week 22 | — | 28.8 | 26.8 to 30.8 |
| Week 23 | — | 30.1 | 27.9 to 32.3 |
| Week 24 | — | 30.5 | 28.1 to 32.9 |
Can you integrate our stores’ system and the online store?
Yes. We integrate your stores’ system, your online store and marketplaces (such as Mercado Libre) into a single model, as long as they let you export or query the data.
Does it make sense if we only have a few stores?
Yes. With two or three stores it already pays to compare sales, margins and inventory with the same rules, and the solution grows as you add locations.
Where do we start?
With a data assessment: in two weeks you’ll know which sources you have and which solution to build first.
Have stores or an online shop? Let’s start with your data.
Tell us about your challenge and we'll map out the first step together. No cost, no commitment.