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Teler for retail

What’s selling, what’s dying, and why?

Ask about sales, stock and customers across every channel in plain words. Teler answers with charts you can check and share.

Works withCSV and ExcelPostgreSQLMySQLSQL Server

Live demoRetail · Sílvia Ferrer, Head of e-commerce at Mirador Stores, with sample dataClick anything to look around.

Sample data

01 · Ask. In plain words, from Home or any chat.

  • Teler Cloud runs in the EU, on encrypted disks. Enterprise teams can run Teler on a dedicated machine or on their own servers.
  • Choose Standard, Zero Data Retention or European-only routing. Our AI providers never train on your data.

Analyses that repeat

Ask once. An agent keeps it running.

Three routines retail teams hand to Teler’s agents. Each one reruns the same checked steps on its schedule and tells the team what changed.

  1. AgentActive

    Weekly reorder plan

    Does
    Forecasts what will sell out and proposes reorders in time.

    Every run

    1. Forecast sales for every product and shop.
    2. Flag products that will sell out before their next delivery.
    3. Propose order quantities within lead times and post the plan for the buying team.
    When
    Weekly · Monday 08:00
    Starts
    On its own

    Latest post · week 41 · Linen duvet covers sell out nine days before their next delivery. Four reorders this week keep every product in stock; the plan is attached.

    Shared with the buying team

    About 2 credits a run
  2. AgentActive

    Daily stock watch

    Does
    Checks stock every morning and flags products that may sell out within three weeks.

    Every run

    1. Read last night’s stock and sales from every shop.
    2. Estimate how many days each product will last.
    3. Flag products that may sell out within three weeks.
    When
    Daily · 06:00
    Starts
    On its own

    Today · Four products may sell out before their next delivery.

    4 products flagged · sent to you

    About 2 credits a run
  3. AgentActive

    Weekly sales review

    Does
    Summarizes sales by shop and category and compares them with last year.

    Every run

    1. Total last week’s sales by shop and category.
    2. Compare them with the same week last year.
    3. Post the summary for the shop managers.
    When
    Weekly · Monday 09:00
    Starts
    On its own

    Last run · Sales up 9% on last year; the online shop and Girona lead.

    Completed Monday

    About 2 credits a run

Agents run only after you save them. Each run shows its steps, so you can check what changed and why.

Dashboards

Dashboards that keep themselves up to date.

Pin any answer to a dashboard. Teler refreshes it on the schedule you set, so the whole team opens the same numbers.

Sales and stockSales, stock cover and reorders for every shop.Updated 2 minutes ago
Sales · this week€612k+9% vs last year
Products at risk · next 3 weeks4+2 vs last week
Sales per weekActualForecast, with its range
Sales by shop · this week
  • Online shop€148k
  • Girona€64k
  • Sabadell€57k
  • Reus€51k
Refreshes every hourShared with the teamSample data
  • Sales and stockSales, stock cover and reorders for every shop.5 widgets · updated 2 minutes ago
  • Online shopOrders, returns and delivery times online.4 widgets · updated 1 hour ago
  • PromotionsDiscounts, stock cleared and margin by campaign.6 widgets · updated yesterday · shared with you

Ask it your way

Questions retail teams ask.

Type them as you’d say them. Teler picks the method, runs it and shows its steps. The answers below are samples.

01 · Sales

“Which products are trending up, and which are declining?”

Sample answerUp: linen bedding (+24%) and wool throws (+19%). Down: summer dresses (−15%) and beach towels (−18%). The season is turning.

02 · Stock

“What could run out before the next delivery?”

Sample answerFour products will sell out first. The linen duvet cover goes nine days before its delivery, the wool throw six.

03 · Customers

“Who are our most valuable customers, and what do they buy?”

Sample answerThe top 8% of customers bring 41% of revenue. They buy across categories, about 4 orders a quarter, and 72% come back.

Also askedTrack revenue by channelPrevent stockoutsSegment customersForecast demandTest pricingMeasure promotions

Your data stays yours

Built for sensitive retail data.

  • EU cloud or your serversTeler Cloud runs in the EU on encrypted disks. Enterprise teams can run it on their own servers.
  • Only what you authorize reaches the AIOur AI providers never train on your data.
  • Your systems stay untouchedTeler works on its own synced copy of the data you choose, never on your production databases.

Questions

Before you start.

Not covered here? Ask us, or check whether Teler fits your team.

Can Teler use our shop and point-of-sale data?

Teler connects to PostgreSQL, MySQL and SQL Server databases and reads CSV and Excel exports. Bring sales from your shop, tills or warehouse in any of these.

Can we combine online and in-store data?

Yes. Teler can use several data sources in the same question, so online and in-store sales can be analyzed together.

Do we need a data team?

No. Store managers, merchandisers and category leads ask in plain words and get charts they can check.

How quickly can we start?

Upload a sales export and ask your first question straight away. Connect a database when you’re ready.

See what your retail data can tell you.

Start free with an Excel or CSV export. Connect a database when you’re ready.