Grocery e-commerce operations

Specialist pick & pack teams for grocery e-commerce peaks.

Trained grocery pickers for own e-commerce and delivery-platform orders — activated when demand exceeds internal store capacity.

Your store teams cover the base load. We cover the peaks.

  • Built for grocery e-commerce, quick-commerce and platform delivery
  • Trained on retailer-specific store processes
  • Performance tracked by pick speed, accuracy, substitutions and SLA
  • Powered by Traxlo's retail operations platform
Orders
Live queue
Pickers
Trained & certified
Stores
Per-store SOPs
Performance
Speed · Accuracy · SLA
Retailer experience

Trusted by leading European grocery retailers.

Traxlo has operational experience supporting grocery operations and online order preparation for major retail groups.

Carrefour logo
REWE Group logo
Żabka Group logo
Rimi Baltics logo
The challenge

E-commerce demand is growing faster than store labour flexibility.

Online grocery and platform delivery create sharp demand peaks. Internal teams can cover the base load, but peaks are harder: weekends, evenings, promotions, holidays, new platform launches and sudden staff shortages.

Peak orders overload store teams

Store colleagues get pulled away from replenishment, availability and customer service.

Overhiring creates idle time

Hiring enough people for peaks often means paying for low-productivity hours later.

Substitutions and cancellations hurt CX

When picking capacity is short, orders slow down, substitutions rise and service quality drops.

Specialist labour

Specialist pickers, not generic temporary labour

Pick & Pack Partner trains workers specifically for grocery e-commerce flows: product search, substitution rules, category handling, staging, handoff, and store-specific SOPs. The goal is not just to add people, but to improve picking speed, accuracy, reliability, and customer experience during peak demand.

The solution

A dedicated pick & pack layer for peak demand.

Pick & Pack Partner provides trained grocery pickers for defined stores, windows and order channels. We help retailers protect service levels without permanently overstaffing for volatile demand.

Trained pickers

Picker onboarding, store-specific SOPs and task certification before live work.

Peak-window coverage

Support for specific days, hours, stores and demand peaks.

Platform + own e-commerce

Support for retailer e-commerce and delivery-platform order flows.

Data-based incentives

Bonuses can be linked to picking speed, accuracy, low substitution rates and SLA.

Channel experience

Experience across grocery delivery order flows

Traxlo teams have supported grocery picking and in-store task execution for retailers selling through major delivery platforms and own e-commerce channels.

Wolt logoWolt
Bolt Food logoBolt Food
Glovo logoGlovo
Uber Eats logoUber Eats

Platform names indicate order-channel experience and operational familiarity. Final scope depends on each retailer's setup.

Public case study

Carrefour Romania

Carrefour Romania publicly announced its partnership with Traxlo to introduce task-based operational support for online order preparation. The model helps activate operational capacity exactly when needed, especially during peak periods, promotional campaigns and seasonal growth in demand.

Carrefour
Online grocery operations are becoming more dynamic. Retailers need flexible, data-based ways to scale execution when demand changes.
External article
Read the Carrefour Romania article

retail-fmcg.ro

Open article
Online order preparation
Peak-demand operational support
Flexible store execution model
Fit

When Pick & Pack Partner works best

Use us when

  • e-commerce demand is volatile or hard to forecast
  • weekends, evenings, promotions, or holidays create order spikes
  • platform launches increase store picking pressure
  • store teams are pulled away from replenishment or customer service
  • substitutions, delays, or cancellations are rising because capacity is short
  • the retailer needs trained temporary support without permanently overhiring

When not to use us

  • demand is stable enough for permanent staff
  • stores have very low e-commerce volume
  • processes are not standardised
  • store managers are not aligned
  • the retailer needs long-term base staffing rather than peak-capacity support
What we measure

Performance is measured, not assumed.

The goal is not only to add people. The goal is to improve execution quality with data. Pickers can be rewarded for measurable performance: speed, accuracy, low substitutions and reliable attendance.

Pick speed

minutes per SKU / orders per hour

Accuracy

correct items, correct quantities, clean handoff

Substitution rate

tracked by store, category and picker

Fill rate

coverage of requested picking windows

SLA

on-time order preparation

Store feedback

manager feedback and operational friction

Pickers can be rewarded using data-based performance incentives linked to picking speed, accuracy, low substitution rates, reliability, and store feedback.

Process

A simple pilot model.

1

Select stores and peak windows

Choose 5–10 stores and the days/hours where e-commerce peaks create the biggest pressure.

2

Map store process

We document the retailer's picking flow, categories, substitution rules, staging area and handoff process.

3

Train and certify pickers

Pickers are trained on store-specific SOPs before they start live work.

4

Execute and report weekly

We track orders, pick speed, substitutions, SLA, issues and store feedback.

5

Decide expansion

At the end of the pilot, we review data and decide whether to expand to more stores or cities.

Czech Republic & Slovakia

Now entering Czech Republic and Slovakia with a specialised pick & pack model

We are preparing focused Czech and Slovak launches for grocery e-commerce and platform-delivery operations. The first pilots can be structured around a locally compliant workforce setup, including licensed agency partners where required, trained specifically for pick & pack tasks.

  • Start with limited pilots instead of national rollouts
  • Focus on high-volume stores and peak e-commerce windows
  • Use trained specialist pickers, not generic temporary labour
  • Measure performance from week one
  • Expand only where economics, store feedback, and service quality work
The offer

Suggested first pilot

The offer
  • 4–6 week pilot
  • 5–10 stores
  • One city or region
  • 10 trained pickers
  • Peak windows only
  • Own e-commerce and/or platform orders
  • Weekly reporting
  • Expansion decision based on data

At the end of the pilot, the retailer receives a store-by-store performance report covering pick speed, substitution rate, SLA, store feedback, operational blockers, and expansion recommendation.

This is a premium elasticity service. It is designed to cover peaks and protect service levels, not to replace the retailer's base store staffing model.

Discuss pilot
The platform

Powered by Traxlo's grocery operations platform.

Traxlo supports retailers with on-demand operational help ordered through a dashboard. The company has experience across grocery operations including online order preparation, replenishment, gap scans, expiry checks and other measurable store tasks.

35,000+
Registered local taskers across Traxlo markets
5
Countries with live retail operations
500K+
Retail tasks executed for grocery retailers

Grocery operations focus

Built around the specific rhythm of grocery stores and online order preparation.

Task-based execution model

Discrete, measurable tasks with clear SOPs — not generic shift staffing.

European retailer experience

Operating with retailers across European grocery markets.

Built from real store operations, not generic staffing.

Next step

Need trained pickers for e-commerce peaks without overhiring permanent staff?

Let's discuss a focused pilot for your Czech or Slovak stores.

Get started

Need extra pick & pack capacity during e-commerce peaks?

Let's discuss a focused pilot for your Czech or Slovak stores.

30-minute discovery call
Tailored pilot proposal
Weekly performance reporting