Retail

Fewer stockouts, yet less inventory

Socrates calculates demand and order quantities at SKU level, across all channels. Socrates recommends, your planning team approves.

−12%
Inventory in the NOS assortment · Fashion retailer
+78%
Forecast accuracy in selected use cases · Lascana
−40–50%
Fewer stockouts in the NOS assortment, from 10% to 5–6% · Fashion retailer

Companies planning with paretos

  • Otto Group
  • bonprix
  • LASCANA
  • HelloFresh
  • Würth MODYF
  • Pietsch
  • premiumXL
  • Wunderlich
  • Otto Group
  • bonprix
  • LASCANA
  • HelloFresh
  • Würth MODYF
  • Pietsch
  • premiumXL
  • Wunderlich
The challenge

Bestsellers run out, slow movers pile up

Many retailers still plan demand and reorders in Excel, based on experience and gut feeling. That is error-prone and costs planners hours every week.

Many channels, many demand patterns

Wholesale, your own stores, the online store and marketplaces each have a different demand profile. A spreadsheet can barely capture that.

Long lead times

What you order today often arrives months later. A forecast error shows up late, and by then it is hard to correct.

Buffers instead of planning

Safety stock ties up capital. Even so, the items your customers actually want to buy end up missing.

How it works

From demand to approved order

  1. 01

    Demand for every SKU

    Socrates forecasts demand at SKU level, across all channels and sizes. The system detects shifts in demand automatically.

  2. 02

    Order proposal with all constraints

    Minimum order quantities, lead times and service-level targets go straight into the calculation. The result is a concrete order proposal.

  3. 03

    Approval by your team

    Your planners review the proposals, adjust them and approve them. Socrates recommends, people approve.

Company Brain

How sales become order proposals

Sales, inventory, your goals, rules such as minimum order quantities and your planners' experience are the basis of your ordering decisions. Socrates turns all of this into your Company Brain: company-owned, traceable and more valuable with every decision.

One run, using a fashion retailer as an example

Data arrives

Sales and inventory arrive through the existing middleware, for almost 2,000 SKUs in the never-out-of-stock assortment.

The proposal is calculated

paretos forecasts demand per SKU and calculates order quantities, with lead times of around six months.

The team approves

The team reviews the order proposals and approves them, almost at the push of a button.

Customer Story · Fashion retailer

Order proposals almost at the push of a button

A European fashion retailer with a never-out-of-stock assortment: these products have to be available at all times. Almost 2,000 SKUs, around six months of lead time.

Until the project started, the retailer's planning team planned these items in Excel. Today paretos calculates demand and order proposals, and the team approves them.

Stockout rate

5–6%

Before: 10%

Inventory

−12%

Manual planning

Around 10 hours less per week

Before: Excel from multiple sources

Order handover

Almost at the push of a button

Before: Weekly cycle, gut feeling

“For example, the system recommended ordering significantly more in fringe sizes.”
Fashion retailer, customer project
More retail customers

In the marketplace business, too

All Customer Stories
Lascana · Otto Group Replenishment proposals for Zalando and About You, calculated automatically Lascana has automated the replenishment calculation for its marketplace business. paretos calculates replenishment for seasonal pre-orders, which are decided twelve months or more in advance, and optimizes reorders in a rolling six-week window.
+78%Forecast accuracy in selected use cases
100%Availability of critical SKUs
Watch the webinar (German)
Features

What your planning gains

SKU-level forecasts, down to the variant

Unified demand across all channels

Order proposals within MOQs and lead times

Integration with your existing ERP

Approval by your planning team

EU hosting, made in Germany

FAQ

Frequently asked questions

Getting started and data

No. Many customers start with incomplete data. During onboarding, we improve the data foundation together with your team.

Planning and control

Consultation

Check your potential

Would you like to know whether paretos is the right solution for you? Book a no-obligation consultation.

Book a call
Julia VogtDecision Intelligence Consultant
Ben EdlichDecision Intelligence Consultant

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