Planograms: Planning and implementation

Planograms aim to optimise article availability and thus specifically stimulate sales. The term planogram refers to two aspects: on one hand the actual merchandising, i.e. which articles are presented on the sales floor and how, and on the other hand, the detailed quantities for individual colors and sizes in order to meet customers’ demands in the best possible way.

Ideally, merchandising and planogram go hand in hand: customers are inspired by the form of presentation and then, their desired product is available in the matching size.  The reality, however, most often paints a different picture.

Planogram – Merchandising

Planogram – Quantities and Priorities

Visually appealing and available in relevant sizes

Breaking this down, there are two questions that retailers face: 1. How to define a planogram for my stores with a suitable size distribution? and 2. How can we implement an efficient refill process such that the plan is properly executed?

With AI (Artificial Intelligence) and RFID-based processes, Detego InStore helps to answer both questions. Since the manual maintenance of the planogram per store can be enormously time-consuming, we rely on machine learning procedures to define a precisely optimised size distribution for all articles across the store. Not only does this save an enormous amount of planning time, but also addresses the ongoing dynamics in individual stores. The self-learning system adapts to possibly changing conditions and continuously optimises the plan.

During the operational process in the store, Detego InStore also supports the store personnel at several occasions: The software offers two parameters that provide information about article availability at any time and therefore represent important KPIs:

  1. On-floor availability: The percentage of all available articles that are currently displayed on the sales floor
  2. Planogram compliance: Provides information on how well the planogram with its individual size distribution is implemented on the sales floor

If one of the two parameters fall below certain threshold values, store staff needs to action: In addition to classic ERP systems, Detego InStore offers a finer level of granularity in the stores, by telling store staff that certain articles are available in the backroom but not on the salesfloor and therefore need to be refilled to comply with the predefined planogram. Retailers benefit from a complete process for the planning and implementation. Another advantage: Refill advices in the app are sorted such that the search in the back room is made as efficient as possible by minimising walking routes.

Shelf space is used for top sellers and is not wasted on sizes that are rarely or never bought. With its self-learning components, Detego InStore makes a suitable proposal for all sizes and facilitates implementation in daily processes – including relevant KPIs for measuring performance. And if a certain size is not available in one store, Detego InStore offers an exact inventory view of surrounding stores – ready for click & collect.

Benefits for retailers:

  • Individually optimised planogram per store
  • Efficient use of shelf space according to bestsellers per store
  • Guided processes: from planning to refilling
  • KPIs to provide insights on operational excellence per store – in real-time

Benefits for consumers:

  • High on-floor availability for the locally popular sizes
  • Positive customer journey
  • Overall increased article availability through exact inventory data on the entire store network – including reservation options

“By optimising the sizing profile of individual items for each store and greatly simplifying the in-store refilling process, we provide retailers with tools that make it easier for them to plan and implement optimum product presentation and thereby help them to boost their sales.”

Dr. Michael Goller – CTO Detego

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Stocktakes are mandatory for retail businesses. With the right software, they can fulfil much more than just legal requirements. A real-time view on inventory provides the basis for high on-shelf availability and customer-oriented services. 

 

The word inventory has its roots in the Latin “invenire” which means “to find something“. Anyone who has ever been involved in the process of a stocktake knows exactly how well this terminology fits. Finding something becomes particularly complex if the ERP system displays a different stock than what is counted on the sales floor and in the backroom. Usually, the products are written off as loss or attributed to shoplifting – which is a big problem especially in the fashion retail industry.  But what if articles that could not be found are still in the store? And what about “positive differences” – meaning a surplus of stock?

 

The crux with inexact stocks

RFID-based article management with permanent inventory offers a very precise and reliable view on the stock-figures. Businesses are presented with real-time data, which the store personnel can access at any time. With this form of inventory, retailers get accurate stock information at any time and do not have to deal with numbers which may or may not be accurate at present. At the same time, the level of granularity can be increased: RFID technology makes it easy to determine which items are in the backroom and which ones are on the sales floor – the ideal starting point for a truly efficient refill process.

 

The optimal inventory cycle

The objectives of an intelligent inventory management process go far beyond the accounting requirements. A question that is frequently asked is “how often do we need to do that in order to achieve our targets”? Today’s systems, using AI and machine learning techniques, can automatically suggest the optimal inventory cycle, providing increased efficiency and store performance with positive effects on the overall profitability. A perfectly balanced inventory requires systems with an integrated and automated replenishment process, analytical forecasts on top sellers and the corresponding size breakdown.

 

Project implementation: a few hours. Stocktake duration: a few minutes.

It’s not only expensive to close down the store and hire additional personnel to carry out stocktakes – also the degrading accuracy has severe impact on the top and bottom line results of a store. For a quick start into exact inventories, intelligent software that drives article availability and inventory accuracy near 100% within just a few hours is now available –without having to invest heavily in a time- and resource consuming project. The quick-start system delivers a convincing performance in the store from day one and makes the roll-out across the entire store network easy and fast. The tedious and time consuming way of looking for articles that may or may not be there will be a thing of the past. Maybe it is time to find a new Latin word that is more suitable?

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An extraordinary four-month project sprint for 500 adidas stores in Russia has been successfully completed. The goal: Boost store KPIs such as inventory accuracy, article availability and consumer service to the highest levels. The means to achieve that: Extremely fast, error-free stock taking of 45 million articles per year through real-time in-store processes that are more efficient and intuitively managed, using decision-relevant analytics. The end-to-end integration was accomplished in just four months. The interdisciplinary project team consisted of business, IT, logistics and retail experts coming from five different countries – all working together across ten different time zones. The result: 99% inventory accuracy and the highest on-floor availability that adidas wanted for its stores. The winner: The adidas end customer.

The future? Athletic.

adidas and Detego are entering the next round. More than 500 stores are live in Russia and an additional 90 stores are planned. Currently, the teams are working on replicating this success in other markets.

Although the customer leaves an invisible data trail in the store, brick-and-mortar retailers barely use them to improve customer service. Dr. Michael Goller, CTO at Detego, explains why things need to change in the future.

 

Online retailing has not only created a new way of shopping, but also has a powerful toolbox to measure its results – with the overall objective to meet the customer’s expectations at all times. For that reason, online retailing has become the highest standard when it comes to measurement and evaluation in fashion retail. There is almost nothing that is not being evaluated while surfing the web shop. Conversion rate, click through rate, average order value, relation between new and returning visitors, bounce rate and retention time are just some of the KPIs that measure the success of online shopping activities. The really powerful thing about this is that analysis is always followed by action – usually fully automated.

 

And what about brick-and-mortar retail? It is about time to take some lessons…

 

The need for real-time data

 

For years, brick-and-mortar retailers have been complaining about imprecise stock-figures and unreliable historical data. Unhappy with its purchasing decisions based on last year’s sales figures, retailers would prefer to have real-time data and inventories that allow for reliable and economically viable decisions. After all, it is important to avoid high security stocks in order to reduce capital tie-up.

 

But why do we actually have this problem? Are the datapoints offered by the ERP systems not enough? Unfortunately not – it is not unusual that the ERP system shows higher stock than actually available on the sales floor. This so-called “ghost stock” is the cause for various problems in sales, e.g. the ERP system says a certain article, for example a red skirt in size S, is in stock, but in reality it is not. It can neither be sold nor refilled from the central warehouse – a classical out-of-stock situation. Or vice-versa, the ERP displays a lower inventory level than is actually available. The reason for these deviations is insufficient accuracy in individual processes that dangerously sum up over time.

 

Today’s intelligent article management is based on three pillars: fast, RFID-based article identification on item-level, tracking of every movement in real-time and proactive analysis with concrete recommendations for actions to take for the sales personnel. This is the foundation for optimum customer service and efficient processes.

 

Meaningful KPIs in the store

 

When measuring KPIs, the practical benefits for retailers are paramount. Three areas of data in the store can be distinguished:

 

  • KPIs for inventory accuracy and product availability
  • KPIs for campaign performance measurements
  • KPIs on customer engagement and service quality

 

How KPIs are defined depends on the size and number of stores, the assortment depth and the flow of goods. Predefined objectives also play an important role: Whether five or 800 stores, KPIs for measuring inventory accuracy are significant for every retailer and still represent one of the main challenges in today’ business. Retailers, on average, can actually make accurate statements on just about 75% of their inventory (based on SKU level). However, this is not enough to meet customers’ expectations for omnichannel services. Therefore, inventory transparency and corresponding KPIs are essential for retailers´ success.

 

Product availability on the sales floor, also known as on-floor availability, is the second central parameter. Initially, it is less about the exact position and more about the fact that the articles are on the sales floor – after all, only items that are actually available can be sold. This key figure can be combined with an alert system that makes sure not to fall short of the defined minimum availability. Complementary to classical ERP-systems, an RFID-based merchandise management takes the data granularity to the next level, by knowing exactly at each moment in time if products are really on the salesfloor or still lingering in the backroom of a store. Having data on item level, store managers are also given important information on the dwell times of articles on the sales floor to gauge whether they are corresponding with the sales plan. One of the most famous KPIs in e-commerce is the conversion rate that describes the ratio between purchases and website visitors and also provides information on certain items that were already in the shopping cart, but for some reason have not been purchased in the end. Specifically this aspect was incredibly difficult to measure in the store for a long time but can now be measured in fitting rooms using IoT and RFID technologies. This provides meaningful insights into how many, and above all, which articles does a customer take into the fitting room and which one does she/he actually buy?

 

On an operational side, KPIs can also be used to manage the service quality. The replenishment rate, for example, states how quickly articles are replenished on the sales floor. On the other hand, the fitting room response time describes how quickly sales personnel handle customer requests coming from the fitting room.

The KPI “Conversion rate per campaign” shows the success of a campaign and if campaign-specific countermeasures are necessary / ©Detego

Turning data into actions

 

What else can brick-and-mortar retail learn from the web shop? Turning data into actions. Since nobody needs a data graveyard, any analysis of data has the goal to take immediate actions to improve. Today’s systems help the management team as well as the store personnel with concrete and automated recommendations for actions to take. This saves time in the decision-making process, unburdens the sales personnel, and enables them do the right things at the right time.

 

 

KPIs should be suitable for everyday business use. Presented visually and self-explanatory, they need to be linked to clear recommendations for actions to take. This frees up store personnel time and provides a data-driven way of optimization. Examples range from simple in-store replenishment advices, i.e. “The minimum stock for article #47699-0010 has been reached – please refill three pieces” to more advanced topics, e.g. to choose a different placement in the store for a specific article when the dwell time on the sales floor is too high compared to other stores.

 

Conclusion

 

Brick-and-mortar retail definitely needs support and an update to the toolbox when it comes to analysis and measures. Not only does the sales personnel benefit from intelligent recommendations for action, but the management team also gains efficient control mechanisms across the entire store network. Decisions are made on the basis of real-time data and therefore allow timely action. Ultimately, the end customer is pleased about a first-class service, which – thanks to the individual and informed advice through the sales personnel – even exceeds the standards of the online retail.

Picture Source: IStock, Copyright: _nd3000

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Why should fashion retailers deal with IoT? What problems could be solved in the stores? What results can be expected? As a retail decision maker you need to deal with IoT if increased article availability, exact inventories, interaction with customers and operational excellence in your stores are set as objectives. This practice-oriented guide sheds light on the triangle of “customer”, “processes in the store” and “deployment of new technologies” and shows how the use of IoT benefits retailers and ultimately the customer. The whitepaper reveals the formula for the perfect customer relationship, based on the right technologies and processes and shows how retailers can apply them to their business.

All store assistants are busy at the moment and another customer enters the store. She has only one question: “Is the skirt in the shop window also available in XS?”– It’s not going to take long, however, nobody is available to assist. She briefly looks around on the sales floor…finds nothing and therefore leaves the store.

Increase service quality in the store with Artificial Intelligence

With digital sales assistants, fashion retailers no longer have to keep consumers waiting but offer them a convenient service. The chatbot serves consumers via smartphone by answering initial questions such as: Is the article still available in my size? Where can I find it? How expensive is it? What accessories go with it? If an article is out of stock, Detega makes suggestions, e.g. to have the desired article shipped from another store to the customer´s preferred store or even directly to her home.

Recommendations for more consumer engagement

If a store assistant recommends additional articles to a customer, it could easily backfire as unwanted assistance can be considered intrusive and the customer might avoid visiting the store in future. However, if a chatbot recommends an article that the customer clearly perceives as a possible additional purchase, he/she will have no problem considering the recommendation or rejecting it by simply swiping it away and look at other articles that he/she likes better. Chatbots enable a non-binding yet personalised dialogue – just as customers are familiar with online shopping.

Detega Video – Initial dialouge before sales personnel takes over

The use of digital store assistants. Benefits for retailers.

Detega…

  • starts a dialogue with the consumer via smartphone as desired
  • notifies store personnel to bring certain articles to consumers
  • pushes purchases through „live“  discounts
  • brings online shopping experience into the store
  • activates cross-selling potential by letting customers browse through the entire product range
  • recommends articles that are actually available in the store
  • supports as well as unburdens store personnel
  • deepens the brand experience
  • compiles data on customer clusters and their preferred article combinations
  • continues to interact with customers after they leave the store to inform them about special offers, etc.
  • offers after-sales services to customers such as reservations in the store

The use of digital store assistants. Benefits for customers.

Detega…

  • helps with the decision-making process using information
  • provides useful product recommendations such as: popular items, bestsellers, reduced articles and product variants
  • accurate product recommendations due to Artificial Intelligence
  • offers self-service via customers‘ smartphone
  • offers online shopping experience in-store
  • answers immediately – customers are not kept waiting
  • gives information in real-time
  • notifies the store personnel to bring desired articles directly to the customer
  • allows customers to browse through the full product range
  • guarantees an unforgettable shopping experience
  • passes on customers to sales personnel when required

„At the Point-of-Sale, the chatbot serves digitally-oriented target groups via their smartphones and passes them on to the sales personnel for individual service whenever the sales process requires it.“

Dr. Michael Goller – CTO Detego

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Friendly sales personnel, stores in top locations and an appealing product assortment are not enough anymore for successful fashion retailing. Today’s consumers expect more: stores as temples of experiences, sales personnel that understands or even anticipates their needs and frictionless shopping across all channels. The use of IoT technologies in brick-and-mortar stores will support retailers to meet these expectations. But how much consumer engagement does it take to turn “today’s shoppers” into “loyal customers of tomorrow”? A search for traces…

 

What are consumers actually looking for?

That is quite simple: articles in the right sizes. Otherwise they are leaving the store without buying anything. Assuming that consumer engagement requires a proactive, not reactive sales culture, retailers need to start rethinking their business approach. This involves systems that provide high inventory accuracy and article availability, real-time information capability, and a single stock view across the entire store network including franchise and wholesales locations as well as online shops. In addition, it requires a customer-focused and empowered store personnel, equipped with smart devices and real-time information, to provide consumers with instant information about desired articles and the capability to reserve these articles or to deliver them directly to the customer’s home. It’s all about an effective way of interaction that is leading to a long-term customer loyalty. If the store staff is proactively supported by the in-store system by means of e.g. intelligent stock takes or smart replenishment processes, retailers – and ultimately the customer – benefit from high inventory accuracy and end-to-end article availability. This provides the base for a successful consumer engagement and is available with the Detego InStore Lean Edition.

 

What exactly do consumers expect?

A lot: individual and innovative shopping experiences. Spoilt by the convenience and services of E-Commerce, consumers’ expectations towards their shopping experience in brick-and-mortar stores are ever more stringent. Omnichannel services such as click-and-collect, return-to-store, ship-from-store and online availability check per store are part of these expectations and have to run smoothly. The Detego InStore Full Edition provides retailers the full-service package for their omnichannel business.

 

How does interaction with consumers look like?

Very versatile and via different touchpoints that customers choose, e.g. via their smartphone right after entering the store. The chatbot Detega gets in touch and supports with article and availability information, introduces the new collection and is also a virtual guide beyond the actual store visit. The Smart Fitting Room is also adapting to consumer requirements in an entirely experience-oriented way. It assembles preferred article variations and optimises the fitting service in close collaboration with the store personnel who brings desired articles from the sales floor or back room to the cabin when requested by consumers via the Smart Fitting Room application. Detego InChannels provides retailers with various opportunities for interaction with consumers that activate customer potential.

The Detego Suite supports retailers in meeting current and future challenges and keeps the store staff ready for increasingly demanding consumers while making the brick-and-mortar business run more efficiently.

Image source: IStock, Copyright: pixdeluxe

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Personalised offers characterise the trends in 2018

Configuring your own sports shoes, designing outfits according to your ideas, receiving individual offers based on your personal shopping profile – in 2018, the signs in fashion retail point to personalisation. In e-commerce, customers leave their preferences and enjoy the benefits of personalised offers and experiences. With new technologies, brick-and-mortar retailers are now also in a position to serve customers according to their preferences: Chatbots, Internet-of-Things (IoT), open IT platforms and augmented reality will be increasingly used in the stores in 2018 and beyond.

Trend #1 Personalisation

Consumers demand that brands fulfil their needs and even more: They got used to brands being able to predict and provide “personal” offers and services. According to the Boston Consulting Group, brands that create personalised experiences by integrating advanced digital technologies and proprietary data for customers are seeing revenue increase by 6 to 10%—two to three times faster than those that don’t.1   This is a very good reason for retailers to follow the personalisation trend. The increasing digital engagement of consumers facilitates the compilation of information on customers, their behaviour, tastes and preferences. The next important step for retailers will be to gain a “real-time view” of the consumer. The desire for personalisation encompasses both the instore and online experience and loses its potential if relevant customer data isn’t available in real-time throughout the retail organisation – including all channel partners. The fulfilment of this desire will drive the use of in-store technologies, IoT, as well as AI-based systems in retail. These technologies will enable retailers to achieve optimum level of personalisation. Consumers welcome personalisation efforts if their benefits are transparent and relevant and will reward retailers, both in terms of their sales behaviour but also by spreading the word.

Trend #2 Chatbots

Artificial Intelligence (AI) is continuing as a strong trend that is now materializing in very specific applications for retailers and customers. Interacting with customers and offering personalized services will bring AI powered chatbots onto the sales floor and add value through various features. Chatbots will make consumer engagement in brick-and-mortar stores possible at a much wider scale than what was achieved before. Answering as much as possible for shoppers through AI, chatbots support the sales personnel and bridge waiting times for customers until there´s a sales person available for individual service. Millennials might even prefer the interaction with the chatbot to being drawn into a more binding conversation with store associates. The customer will be able to interact with the digital sales assistant at any time via their smartphone and control the dialogue with the chatbot. These chatbots will bring a form of intelligence into the store that is well-known in online retailing, with one of them being filtered recommendations: e.g. popular articles, bestsellers, articles on sale or even product variants. Artificial intelligence, however, will not be limited to the chatbot itself. What will make it even more exciting is when chatbots communicate with other systems in the background, e.g. to check the actual article availability in real-time and compile data about customer cluster and their preferred article combinations. As a result, recommendations will become personal and meaningful.

Trend #3 Internet-of-Things (IoT)

IoT will continue to be one of the biggest topics for stores in 2018 and will increasingly provide tangible results for retailers and customers. Devices that communicate with each other in the store bring a number of advantages and insights. Gained data on popular items, product combinations, purchasing preferences, ‘tried-on- but- not- bought’ articles as well as article movements in the store can be intelligently used and transformed into data-driven recommendations for customers. IoT will also play a key role in driving consumer engagement in the store. The consumers’ new self-perception is taken into account through IoT technologies: enabling customers to become the main actor, brand ambassador, partner as well as creator of the future when shopping. Consumers’ request for more personalised offers will also be supported by the use of IoT in retail.

Trend #4 Augmented Reality

To engage customers emotionally and to enrich their experience of the brand, retailers will increasingly take advantage of augmented reality. These technologies will also support retailers in their approach to bridge the gap between e-commerce and brick-and mortar retail, offering consumers the seamless, non-siloed experience across all channels they are looking for. Retailers want to lure their online customers into their brick-and-mortar stores. In order to achieve this, retailers will increasingly use augmented reality and location-based services. Once a customer has arrived in the shopping mile, retailers can use 3D maps to “push” their locations onto the user’s smartphone. The consumers purchasing preferences are taken into careful consideration. In the next step, this service will also include article availabilities of preferred articles in the nearest stores. This promises great benefits for the customers, for example, finding stores (in pedestrian areas) that actually have the item they are looking for in the right size and colour. For this purpose, customers will be presented with real-time inventory data to create a positive online-offline shopping experience. As augmented reality rapidly improves, analysts predict that the retail industry may be one the biggest beneficiaries.2

Trend #5 Open Platforms

Retail IT landscapes of the future need to be as flexible as consumers are. To compete, retail companies must transition their IT systems to open platforms that enable rapid deployment of new solutions and make use of on-demand cloud services to create outstanding customer experiences. Open platforms will allow retailers to combine own software with third party applications as well as to switch services on or off as needed, leveraging the convenience of the cloud. They´ll also make business innovation much easier, faster and less expensive. While open platforms still have room to grow before being the standard in retail IT landscapes, the increasing demand for greater flexibility will drive the industry to embrace “openness” as a way to meet the needs of customers in the future.

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The hype about cloud-based systems continues: There is hardly a software system that has not stepped into the cloud. Many applications, especially in the business environment, rely on an “infrastructure-as-a-service” or “platform-as-a-service” model, where existing solutions are simply hosted and operated by a large cloud provider.

In addition, there are true “software-as-a-service” solutions that are available for a monthly fee with  guaranteed performance.

Regardless of the actual model chosen, the cloud offers enormous advantages for retail companies, especially with respect to RFID-based inventory management.

Advantages of inventory analysis in the cloud

  • IT infrastructure does not have to be operated and maintained by the retailer: Focus on core business
  • Lower costs: in comparison to individual operations
  • Flexibility: For store openings and closings, and even for the operation of pop-up stores
  • Easier integration with existing systems: standardised, open APIs

Smart processing of data at scale

Compared to traditional inventory management, an RFID-based approach brings one thing in particular from a system perspective: More data. Frequent, even permanent and real-time stock takes and tracking of each individual article movement generates more data than before. More data is not necessarily an advantage, and must be processed and stored somewhere. In addition to the – almost unlimited – storage space that cloud-based systems offer, here is another decisive advantage: On one hand, sufficient computing capacity is available for complex and -intensive processing steps, which can be activated simply and automatically “when needed” (“scaling up” and “scaling out”). On the other hand, in cloud-based systems, the application of modern algorithms such as machine learning methods are significantly simplified in order to actually benefit from operational data.

What does data reveal?

This gives retailers access to a broad portfolio of analytic tools, algorithms and necessary infrastructure, without having to become a specialist in the implementation and operation of complex systems and tools for large-scale data analysis. Sounds abstract? The following examples show concrete use cases:

Analysis of the performance of individual articles:

While classical analysis is mostly limited to sales data, new technologies allow far deeper insight into what is happening in the store. With RFID-based inventory management, in addition to sales data, other parameters can be precisely measured and correlated. Derived from this, influencing factors are used to determine in which store the sales probability for certain articles is actually the highest. What is the result of the analysis? Easy to follow recommendations for the sales personnel in the store in order to make the most of the potential of the sales area. Sales personnel receives notifications directly on the smartphone which is processed as soon as possible.

Raw data from the store network – Derive meaningful KPIs – Processing and feedback to the store

Evaluation of periodic inventory data:

The classical stocktake: Not very popular, cumbersome and lengthy – still needs to be done 1-2 times per year for audit purposes. However, an RFID-based system makes it very easy. Reason enough to increase the frequency for better data accuracy. This quickly results in several thousand data records per year. Nevertheless, these datasets contain far more information than just the ordinary inventorydifferences that need to be accounted for in the ERP system: A targeted analysis quickly identifies trends about problematic items, allowing timely countermeasures. As far as the operational process is concerned, smart algorithms can raise additional potential: The classic approach of “one RFID-based stocktake per week” is not necessarily optimal or necessary in every store. Detego InReports suggests the ideal time for a stocktake and can even predict how many people will be needed to complete the process in the desired time. It provides support where it makes sense.

 

These scenarios show how current methods and algorithms from the world of data analysis, when cleverly applied to inventory data, can show operational benefits.

 

While this might sound simple, practical implementation is far from easy due to the amount of data that needs to be processed and complexity of procedures used.

 

Specialized systems that leverage benefits of the cloud can help address this and gain data driven insights rather than pure intuition.  This is accessible in a scalable infrastructure that comes with predictable cost within a simple SaaS model.

What needs to be taken into consideration by retailers

Aside from all the advantages, there are also aspects in the use of cloud-based systems, which requires rethinking and possibly even making changes to the existing infrastructure.

 

Infrastructure

Make sure your infrastructural equipment is bandwidth-rich to enable you to run store applications in the cloud with satisfactory performance and to adequately size Internet uplinks for today’s and tomorrow’s applications.

 

Data collection in the store

Make sure to install optimal WIFI in your stores. That is what customers expect nowadays. Not only do customers interact with their smartphone while shopping, persons accompanying them do so too. That is an aspect which should not be underestimated in order to keep customers in the store and offer new services.

 

„Shared“ versus „Dedicated“-Cloud-environments

Many software packages allow operation either in a so-called “shared environment” where resources are shared with other companies, or in a “dedicated environment” which is operated exclusively for a particular customer. Both variants have their advantages and disadvantages. While “shared environments” are generally cheaper to operate, there are some dependencies, e.g. in terms of performance. “Dedicated environments” usually offer more flexibility but also entail higher costs.

 

Lock-In to a Cloud-Provider

Cloud software packages that can be transferred at any time from one cloud to another if necessary are advantageous. This bypasses a long-term dependency on one of the classic cloud providers, e.g. Amazon, Google, Microsoft and Co. It is recommended to make sure that the software you use is not dependent on a particular provider, but can also be operated flexibly with another provider.

Conclusion

Your inventory data contains information going far beyond the typical inventory differences or what ordinary sales data can tell you.  Smart analytics and state-of-the-art processing helps you to unlock this potential – a new way where cloud-based systems flex their muscles.

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Although we are not allowed to publish names of our retail customers who chose Detego InStore Lean Edition, the reasons that led many international fashion retailers to equip their stores with it, are summarised in the following:

 

  1. A solution that is productive within HOURS:
    Not within weeks or months. No complex IT integration or complicated implementation.

 

  1. Advantages for the store are effective immediately:
    Inventory accuracy and on-shelf availability > 98%.

 

  1. Intuitive and guided processes:
    Sales personnel are guided through all the relevant store processes quickly via a smartphone and without any need for trainings. A lean and intuitive application actively supports and unburdens the sales personnel in their daily work.

 

  1. Unbeatable flexibility for fashion retailers:
    Whether it is your own store, franchise store, wholesaler locations or shop-in-shop setups: Detego InStore Lean Edition fits all of them and delivers fast results/ROI.

 

  1. Scalability:
    Start with a few stores and scale to hundreds or thousands. Starting with the features of Lean Edition to ensure inventory accuracy and on-shelf availability, additional features can be added later with Full Edition, e.g. retail analytics, efficient omnichannel services and consumer engagement applications. Fully integrated inventory management across the entire supply chain is also possible at any time.

 

If you also want to benefit from these aspects, we´ll be happy to discuss the introduction of the Detego InStore Lean Edition to your stores.  We will show you how to get started quickly with one or more stores, what to do in terms of preparation, which results can be expected and for what budget. If you would like to see results, get in touch with us. We look forward  to hearing from you.

Bildquellen: Fotolia, Copyright: Rawpixel

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