Home / Allocation and replenishment

Supply chain

The right stock in every store, at the right time

Initial allocation, pre-packs, replenishment along the product lifecycle, inter-store transfers and returns. Driven by forecasts, store capacity and priorities, and run by exception.

Largest setup we run
Countries and partners36
Stores1,400
Style-colours90,108
Pack definitions22,916
SKUs427,232

Over 90% of store replenishment delivered in packs.

The problem is everywhere at once

Thousands of products in hundreds of stores, short deliveries, demand that changes before the goods arrive, and store plans that are not synchronised with the warehouse. Excess and shortage appear in the same chain at the same time.

  • No forward visibility when placing orders
  • No combined view of stock and sales
  • Plans that ignore future demand and availability
  • Store and warehouse plans not in sync
  • Thousands of orders and transfers managed by hand
  • Surpluses and stock-outs across the chain

Covered along the whole product lifecycle

Each phase of the lifecycle uses a different method. The system switches automatically, so planners do not have to.

  1. AllocationLaunch to store groups, countries and channels on the first allocation date, by algorithm
  2. GrowthVolatile early sales, replenished with min/max or cover rules
  3. MaturityStable sales and the best forecasts, dynamic replenishment
  4. End of lifeDemand to end of life checked against stock, then stop, transfer or return

Processes we implement

Allocation, replenishment and transfers

  • Pack allocation: macro, micro, new stores, additional and from virtual warehouses
  • Pack breaking, multipacks and relabelling
  • Single-item replenishment from central or store demand
  • Inter-store transfers that rebalance surplus and shortage within region or country
  • Closing-store transfers, returns and liquidation
  • Virtual warehouses and reservations by channel and country, with backup sources
  • Store priorities, capacity thresholds, presentation layers and delivery calendars
  • Supplier minimums, case and pallet rounding, transport limits
Forecasting

Demand you can trust

Regular, promotional and new-store forecasts, size curves and pre-pack design. History cleaning, sister stores and products, promo lift and exception management.

Methods

The right method per product

FixedMin/MaxDynamicLead timePoissonHybridSeason share

Matched to forecast volume and volatility. Service levels set per category and rotation, since safety stock grows non-linearly above about 92%.

Run by exception

Six million order proposals, a few hundred decisions

A chain of about 260 stores with 20,000 products generates around six million replenishment proposals per run. Nobody can check them one by one. Proposals that pass the rules go to the ERP automatically. Planners work only on exceptions.

OverstockUnderstockMissing sizesOut of stock in warehouseStore surplusOrder thresholdsStore without priorityWeeks to end of life
260stores
20,000products
~6 Mproposals per run
Exceptionsthe only items planners review

Where we did it

Allocation and replenishment for footwear, fashion and e-commerce, including multi-country and multi-channel setups.

CCC

Allocation in packs

Allocation live since 2017. Pack allocation, transfers, returns and auto-allocation for about 1,400 stores in 36 countries and partners.

eobuwie.pl and MODIVO

E-commerce growth

Allocation and replenishment for a fast-growing e-commerce business, including a new warehouse in Romania.

Sportina, Half Price

Initial versus repeat

Split of initial and replenishment orders, store groups and lifecycle rules in off-price and apparel retail.

Let's talk about your retail challenge

Planning, stock, prices, product data or reporting. Tell us where it hurts today and we will come back with a concrete plan and the fastest way to first results.

E-mailbiuro@pronos.euPronos Sp. z o.o., ul. Agrestowa 125, 53-035 Wrocław