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How to standardize locker operations through video-training: The InPost Spain Case Study

Álvaro Martínez
Álvaro Martínez
Content Specialist
ScalabilityDigitization
Reading time: 11 minutes

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From experience
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How to standardize locker operations through video training with traceability

 

InPost closed 2025 with 13,000 pickup and return points across Spain and Portugal.¹ 4,000 of them are lockers, double the number from a year earlier. And for 2026 they plan to deploy more than 20,000 new ones globally.² Every one of those points needs to operate the same way: same activation sequence, same incident protocols, same experience for the end user. But each one is run by different people, in different locations, with different contexts.

The question is operational, not technological: how do you get 13,000 points to execute the same procedure when you can't put a trainer in front of each one?

InPost Iberia went from one-to-one manual training to a scalable content infrastructure where they now create, translate, and monitor training autonomously. Their case illustrates a problem shared by every distributed logistics network — and a concrete model to solve it.

When a logistics network grows faster than its capacity to train, operations fragment. The answer isn't more trainers. It's a system that scales at the network's pace.

 

The problem: training thousands of points when each one operates differently

 

Last-mile networks have a feature that sets them apart from almost any other sector: the people executing operations aren't direct employees. They're partners, pack points, locker operators, partner stores. People who aren't on your payroll, don't attend your meetings, and in many cases manage your service as a side activity within their own business.

Training this profile comes with three specific frictions:

  • Geographic dispersion. Points are spread across the entire territory. InPost, for example, has a strong presence in Andalusia (2,280 points), Catalonia (1,713), Madrid (1,433), and the Valencian Community (1,291).¹ Sending a trainer to each location isn't viable.
  • Turnover and growth at the same time. In last-mile networks, operator turnover is constant. Pack points change managers, partner stores rotate staff, partners onboard new people every season. And the network keeps growing: InPost added 1,000 new points in less than a year.¹ Every new addition means training from scratch again.
  • No verification. You can send a 30-page PDF to every pack point, but you have no way of knowing whether they read it, understood it, or applied it. In a Cadena de Suministro survey on logistics operations, 63% of professionals point to ongoing team training as the most important measure for warehouse safety.³ Without traceability, that training is an act of faith.

The traditional model leans on figures like the network manager: a person dedicated to traveling the network and delivering in-person training. It works with 200 points. With 4,000 it can't keep up. With 13,000 it's, literally, a titanic task.

This is what we call Documentary Inertia in corporate training: the tendency to stick with static formats (PDF, PPT, in-person sessions) because the perceived cost of change feels high — even when the real cost of not changing is higher.

The cost of network synchronization

In distributed logistics, the collapse of this model has a quantifiable explanation. If you depend on physical trainers, the cost of keeping the network in sync scales linearly: for each point, you add travel time plus session time, multiplied by the trainer's hourly cost. With 200 points, that's a dedicated team. With 4,000, it's an entire department. With 13,000, the cost tends toward infinity and any rapid update becomes unworkable.

The logic of a Knowledge Infrastructure is precisely to cancel out the travel variable (the trainer doesn't travel, the content does) and parallelize the training session (every point accesses it simultaneously). The result: the marginal cost of training point 13,001 is exactly zero.

 

Why static formats don't work in distributed logistics

 

A PDF with the operating procedure for a locker does its job the day it's written. The problem starts the day after.

Think about what it takes to manage operational training in a network like InPost's.

Updates are constant: a change in the incident protocol, a new locker feature, a tweak to the return process. Every update means regenerating the document, redistributing it to thousands of points, and trusting they'll replace the old version. With an external agency in the loop, that means triggering the entire production flow every time a single piece of data changes.

On top of that, InPost operates in Spain and Portugal, with three working languages: Spanish, Portuguese, and English. Every document needs three versions. Every update, three reviews. Every translation error, a real operational risk.

The format doesn't help either. A pack point operator is a deskless worker: no office, no time blocked off for training. They're not going to sit and read a 30-page manual between customers. Vidext's internal data shows that 98.5% of corporate training consumption happens on desktop, not mobile.⁴ But in this logistics context, "desktop" doesn't mean office: it's the POS at the counter, the tablet in the back room, the computer in the receiving area. They need short visual content they can play without stepping away from their work.

And visibility is zero. Who completed the training? Who opened it but didn't finish? Who never even received it? With a PDF sent over email, none of these questions have an answer.

The combination of these factors produces a predictable result: points operating with different versions of the procedure, training gaps no one spots until there's an incident, and a central team spending its time putting out fires instead of improving operations.

 

From manual training to knowledge infrastructure: the InPost case

 

InPost Iberia faced exactly this scenario. Their B2B marketing team needed to scale training to a network growing every quarter, but the production flow couldn't keep up.

The old flow worked like this: the network team identified a training need for the pack points. That need was passed to the marketing team, which in turn sent it to an external agency to develop the content. Once produced, it was printed and physically distributed to each point. Any change meant repeating the whole cycle from the start.

The transition involved what we call Visual SOP Refactoring: turning those static documents into modular video content, keeping the operational structure but adapting the format to how content actually gets consumed.

With Vidext, the process changed in three ways.

The InPost team imports their existing materials (PowerPoint, PDF) directly into the platform and generates training video without depending on an agency. The first days with the tool, by their own account, were straightforward thanks to the support of their assigned Customer Success Manager. Today they create content fully on their own.

Once a video is created in Spanish, it's automatically translated to Portuguese and English without re-editing. That removes the bottleneck of maintaining three parallel versions of every material, with the consistency of an integrated glossary that locks in technical terminology.

And when a procedure changes, they go to the video, edit what needs editing, and it's available to the entire network instantly. No agency to mobilize, no reprinting, no redistribution. The content is always up to date for every point in the network.

This shift turned the network manager from "the person who trains point by point" into a real network manager — freed from the operational load of running repetitive sessions. It's the model change that defines a Knowledge Infrastructure: not a tool for making videos, but a system that keeps training alive, current, and traceable at scale.

How InPost does it from the inside

In the full case study, InPost Iberia's B2B marketing team explains step by step how they pulled off this transition: the challenges they overcame when leaving external agencies behind, how they manage training for thousands of pack points autonomously today, and what they're planning next to extend the model to lockers and drivers.

→ See the InPost case study

 

Traceability: knowing who has completed what, in real time

 

Creating scalable training content solves half the problem. The other half is knowing whether it works.

In logistics operations, training traceability isn't a nice-to-have. It's a requirement. When a pack point mishandles a return or a locker fails because of a procedural error, the first question is always: did they get the training? Did they complete it? Did they understand the process?

Vidext Visual is the distribution and tracking layer that answers these questions. Here's how it works.

Each recipient gets the content with a unique link. The system tracks who opened, who watched, and who completed. But traceability goes beyond simple "viewed/not viewed": InPost embeds questions inside the videos themselves to verify pack points are absorbing the information as they consume it — not just hitting play.

Once the video is completed with the questions, the system generates an automatic certificate. That creates an auditable record: if a partner asks how you guarantee their point is trained, the answer is a dated data point, not an assumption.

The central team accesses a dashboard with completion percentages by point, by region, by language. Training gaps stop being invisible.

This level of traceability matters especially in operational compliance contexts. Faced with an audit or an incident, the answer stops being "we sent them a PDF" and becomes a concrete data point: completion rate, dates, certificates.

For companies already running an LMS, Vidext integrates via SCORM and xAPI, letting you bring the generated content directly into your existing training infrastructure without duplicating systems.

 

Results and scalability

 

The difference between the old model and the current one comes down to one table:

 

DimensionBefore (manual model)Now (with Vidext)
Content creationExternal agency, weeks of productionInternal team, autonomous creation in hours
UpdatesRepeat the entire production cycleEdit the video and publish instantly
LanguagesThree manual versions (ES/PT/EN)Automatic translation from a single source
DistributionPhysical printing + shippingDigital, with a unique link per recipient
TraceabilityNoneIndividual tracking with certificates
ScalabilityLimited by the network manager's capacityScales with the network, zero marginal cost per point

 

InPost has already validated this model with their pack points and plans to extend it to locker and driver training (they tell the story themselves in the case study). The context matters: the company plans to deploy more than 20,000 new lockers throughout 2026.² With FedEx's acquisition of InPost expected in the second half of 2026, the scale of the training challenge is only going to grow.⁵

This is the scenario where a Knowledge Infrastructure proves its value: not when a network has 200 points, but when it has 13,000 and counting.

For companies in similar situations (large, distributed teams, pressure to reduce time to productivity for new hires, content that goes stale fast), the model is replicable. It doesn't require an audiovisual production team. It requires existing content (the PPTs and PDFs you already have) and a system that transforms, translates, and tracks it.

 

Conclusion

 

Standardizing operations across a distributed logistics network isn't a content problem. It's a system problem. The best manuals in the world don't help if you can't distribute them at scale, update them instantly, and verify they've been consumed.

The InPost case shows the transition is doable and the return is immediate: less reliance on in-person trainers, fewer production cycles with agencies, and — for the first time — real data on who's trained and who isn't.

If you manage training across a distributed network, book a Vidext demo to see how this model works.

 

Can video training be used for locker and pickup point operations?

Yes. AI-powered training video lets you turn operational procedures (locker activation, incident handling, return protocols) into short visual modules any operator can consume on the job. InPost already applies it to its pack point network in Spain and Portugal.

 

How does traceability work in video training?

Through platforms like Vidext Visual, each recipient gets a unique link. The system records who has watched the content, who has answered the embedded questions correctly, and who has earned the completion certificate. Everything is logged in a centralized dashboard.

 

Can you maintain training in several languages without multiplying costs?

Yes. Automatic translation lets you generate versions in more than 40 languages from a single source video, keeping terminology consistent through an integrated glossary. InPost works with Spanish, Portuguese, and English from one base content.

 

What happens when an operating procedure changes?

With AI-based training video, you just edit the affected section of the video and publish the updated version. No need to regenerate all the material or redistribute physical documents. The change is available immediately for the entire network.

 

Does it integrate with an existing LMS?

Yes. Vidext exports in SCORM and xAPI, allowing you to plug the generated content directly into LMSs like Moodle, Cornerstone, SAP SuccessFactors, or TalentLMS without duplicating management systems. Vidext Visual's traceability works independently of any LMS, so it also works for companies that don't have one yet.

 


Sources

¹ InPost reaches 13,000 Pack Points and Lockers in Spain and Portugal - Revista Inforetail

² InPost reaches 4,000 lockers in Iberia after 2,000 installations in 2025 - Distribución Actualidad

³ Last-mile distribution, the main challenge for the logistics sector in 2026 - Cadena de Suministro

⁴ Vidext internal data: platform consumption pattern analysis, February 2026.

⁵ FedEx will close the InPost acquisition in the second half of 2026 - Información Logística

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