Case study

Great sportswear, great operations.

Hastko is taking women’s sportswear by storm. Great founders, great team, now powered by great tech. We built them three apps on one source of truth: Retailer ATS for partners, S&OP for planners and Analytics for the whole team.

Client
Hastko, France
Industry
Women's sportswear and underwear
What we built
Retailer ATS, S&OP, Analytics
Data
8 sources, one warehouse
Used by
Founders, planners, marketing and retail partners

The problems we solved

(THE PROBLEM)

(WHAT WE BUILT)

  1. [01]

    Retail partners asked for stock by email, and waited for the answer.

    Retailer ATS shows partners what is free to sell, the next inbound date and RRP in euros, kroner and kronor, in their own market.

  2. [02]

    Every team had its own numbers.

    Eight sources land in one warehouse and every figure is defined once. Exchanges, replacements and gifted orders stay out of sales.

  3. [03]

    Best sellers sold out, leaving opportunity for more growth.

    A stock roll-forward per size and colour with cover targets. Buys are suggested at the minimum order before stock runs out.

  4. [04]

    Purchase orders lived in spreadsheets and email threads.

    One PO book with production status, split deliveries and inbound dates that flow straight to partners.

  5. [05]

    Ad spend and stock were read in different tools.

    Analytics puts Meta and Google Ads next to each product's sales and weeks of cover.

  6. [06]

    The weekly S&OP meeting took long to prepare.

    The Meeting page builds itself: pacing, projections and stock risk, with an AI summary on every chart.

The work we have done with Telemyr over the last few months has changed how we run Hastko. Our team and our retail partners share the same numbers every day, we buy with confidence, and we have more time for product and community. We couldn’t be happier.

AurelieFounder, Hastko

Three apps, one sign-in.

Each app is built for the people who use it every day. A switcher in the dock moves between them, and everyone sees the same numbers.

Analytics S&OP Retailer ATS

*Figures on mockups are dummy data for demo purposes

01 / 03

Retailer ATS

Retailer ATS overview: Top 10 best sellers in Norway with RRP in EUR, DKK, NOK and SEK and available-to-sell quantities, and the product panel for the Seamless Endurance Sports Bra N°42 with its quantity breakdown and inventory value.

*Figures on mockups are dummy data for demo purposes

Best sellers by market

Top 10 over 30 days and Trending today, for all markets or one country.

Free to sell

Available quantity with the next inbound date and expected quantity from the PO book.

The prices partners use

RRP in EUR, DKK, NOK and SEK on every product, with an Excel export.

Product detail

Available, committed, incoming, reserved and damaged stock, with cost, price, margin and inventory value.

Access per person

Admins invite viewers and choose which apps each person can open.

One sign-in

The same account opens S&OP and Analytics for the Hastko team.

02 / 03

S&OP

S&OP overview: season target, expected revenue and gap to target, with exception cards for plan, stock risk, purchasing and data quality, most of them all clear.
S&OP forecast for the Seamless All Terrain Sports Bra N°39: a 3,000 unit purchase order in February keeps stock above the cover target to September.

*Figures on mockups are dummy data for demo purposes

S&OP purchase orders: PO-2611 in transit with its production steps, split into two deliveries, above the list of other open orders.

*Figures on mockups are dummy data for demo purposes

Exceptions first

Styles off target, run-out risks, late buys and data problems, each with a four-week trend.

Collection planning

Season targets by category, product and colour, with recommendations to approve.

Forecast and buy

A stock roll-forward per SKU. Generate PO respects minimum orders, lead times and cover targets.

Purchase orders

Production status from supplier confirmation to delivery, split deliveries and inbound dates shared with partners.

Scenarios

Branch a plan for each warehouse, such as the US launch, without touching the live forecast.

Weekly meeting

Pacing, projected month end and stock risk on one page, with an AI summary on each chart.

03 / 03

Analytics

Analytics revenue page: net sales, orders, AOV, new-customer orders, return rate and units against last year, and month-to-date revenue 6.2% ahead of the S&OP target.

*Figures on mockups are dummy data for demo purposes

Analytics marketing page: Meta spend, ROAS, MER, CPA, CTR and CPC, weekly spend against attributed revenue, Google Ads results and Meta placements.
Analytics trending products: units over 30 days, trend lines, growth, weeks of cover and flags such as Accelerating for seven Hastko products.

*Figures on mockups are dummy data for demo purposes

Revenue

Net sales, orders, AOV, new and returning customers against last year and the S&OP target.

Profit and loss

DTC P&L by day, week or month against the finance team's budget.

Paid media

Meta and Google Ads spend, ROAS, MER and CPA, linked to the products they sell.

Products

A trending board that flags what is accelerating, slowing, at risk of selling out or overstocked.

Markets and channels

Top markets, traffic sources, attribution by channel and repeat purchase by first-order month.

Find anything

Jump to any page, metric, country or product from the command bar.

Eight sources, one source of truth.

We connected all of Hastko's systems. Their data goes into one data warehouse. It updates through the day. The three apps read from it. A number means the same thing everywhere.

Diagram: Shopify, Google Ads, Facebook Ads, Google Analytics, Inventory, B2B, Financial Plan and Accounting flow into one data warehouse, which feeds Retailer ATS, S&OP and Analytics.

*Figures on mockups are dummy data for demo purposes

Shopify

Orders, products, variants, customers, refunds and abandoned checkouts.

Feeds all three apps

Google Ads

Spend, clicks and conversions, and paid search in channel reports.

Feeds Analytics

Facebook Ads

Spend, ROAS and placements, by campaign, country and product.

Feeds Analytics

Google Analytics

Traffic, sources, markets and the conversion funnel.

Feeds Analytics

Inventory

Stock by location from the warehouse, with incoming and reserved units.

Feeds Retailer ATS and S&OP

B2B

Wholesale orders, the draft order pipeline and the order book.

Feeds S&OP and Analytics

Financial Plan

The budget and forecast workbook from the finance team.

Feeds Analytics P&L

Accounting

Invoices and costs, so margins use the real numbers.

Feeds Analytics P&L

Every figure is defined once and written down. A dash in the apps means there is no data, never a zero.

AI where the work happens.

The S&OP Guide answers questions about any formula, column or figure in the apps. Planners ask in plain words and get an answer with its sources.

  • An AI summary on each chart of the weekly meeting
  • A briefing on any product for the planner who opens it
  • Answers that cite the forecast, the PO book and the catalogue
The S&OP Guide answering whether the Sports Bra N°39 in True Black will last until the summer, citing the forecast, the PO book and the rate of sale.
*Figures on mockups are dummy data for demo purposes