Next Gen Store Execution - Trax Image Recognitioninfo.traxretail.com/hubfs/Next_Gen_Store_Execution_Whitepaper.pdf · 2 2 The Customer at the Center of Retail Operations Contents

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Next Gen Store Execution: Keep Your Store Relevant With Image Recognition

Next Gen Store Execution Keep Your Store Relevant With Image Recognition

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The Customer at the Center of Retail Operations2

Contents

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Resolving the Out of Shelf Conundrum9

Reinforcing Promotions and Price Execution13

Improving Customer Experience through Strategic Store Execution15

Conclusion20

Achieving Better Returns on Shelf Space

Shopping experience is the keystone to brick-and-mortar stores staying relevant today. To overcome operational blindspots that stand in the way of attracting and retaining footfall, retailers must redefine how they see the store. Store monitoring today needs to be a robust system of insight that transforms decision making around demand, supply and product. Shelf analytics powered by image recognition is the silver bullet that the industry is looking for.

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1. PriceWaterHouse Cooper: Total Retail 20162. RetailNext: Retail Performance Pulse 2015

The Customer at the Center of Retail Operations

The retail industry isn’t facing disruption. It’s already disrupted. Shoppers today have more choice, are more empowered by technology, better informed, and more frugal than ever. In order to drive customer loyalty and increase lifetime value, retailers today are putting an unprecedented premium on delivering the best possible shopping experience.

Online retailers have a strong edge in data, and are able to channel user behavior knowledge into creating a good shopping experience. Along with this, the ability of online retailers to compete better on price is increasingly posing a threat to the relevance of brick and mortar retailers.

Declining store traffic is an acknowledged trend in recent years. In many categories the process of learning and discovering new brands in increasingly done on the internet, often at the expense of browsing and buying at physical stores.

However, there is plenty of hope.

According to a 2016 PwC global study1, 72% of buyers in the grocery category still preferred to make household purchases in store, while just 20% preferred to do it online. Even in non-food categories - such as clothing and footwear - where shoppers clearly prefer to research online, many still prefer to go to a store to buy the product. The option of interacting with product and people still greatly matters to shoppers.

Furthermore, although store-based sales and traffic are falling, recent research2 reveals an uptick in conversion of sales transactions (as a percentage of traffic) and sales per shopper. This means that when shoppers do go to the store, they go with a strong intent to buy.

To turn these trends to their best advantage, retailers need to create in-store experiences in which shoppers who prefer to buy offline are converted to buying customers. One of the biggest challenges that stands in the way of this is shelf visibility. Many blind spots exist that keep retailers from knowing which products are moving, ensuring that products are always on the shelf, and staying on top of compliance, marketing and merchandizing execution.

This whitepaper explores how retailers can optimize two crucial parameters which the in-store experience pivots around – shelf space and product availability. It introduces image recognition technology as a potential silver bullet for retailers to improve store execution, increase operational efficiency and elevate customer experience.

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Retailers employ time tested techniques to ensure that the arrangement of products on the shelves increases visibility, consumer awareness and demand for the products. The emergence of category management is testimony to the rising emphasis on space planning, assortment planning and visual merchandizing.

Exhibit 1 | Retail demand and supply chain planning framework4

ProcurementProcurement Warehousing Distribution Sales

Long

-term

Configuration

Master planning

Execution planning

Mid

-term

Shor

t-ter

m

Flow of goods Flow of information

Strategic procurement logistic

Inbound planning

Order planning

Strategic warehouse design

Production planning

Production scheduling

Product segmentation and allocation

Strategic distribution planning

Distribution planning

Transport planning

Strategic outlet planning

Master category planning

Instore planning

Instore fulfillment

3. The Retail Shelf Space Allocation Problem: New optimization methods applied to a supermarket chain, 20154. Demand and supply chain planning in grocery retail: an operations planning framework, 2012

Achieving Better Returns on Shelf Space

Recent studies point to a 30% increase in the number of products in overall store assortments in nearly 10 years, between 2000 and 20093.

This proliferation of products and the concurrent scarcity of shelf space means that retailers need to be on the top of their game to manage store operations efficiently.

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Exhibit 2 | Example of a planogram

STORE: 0

Print Date & Time: 5/6/2016 9:29 AM

OM

IT

WAL-MART STORES, INC. - CONFIDENTIAL

CATEGORY:

Implement Week:

SEN

D

*****PLACE MODULAR SHELF LABELS LEFT JUSTIFIED - DO NOT USE YELLOW MODULAR STRIPES *****

1 2 3 4 5 6

16 inch SHELF in Notch 14

19


14


7

8

20

15

9

21

16

10

22

17

23

11

13

18

24

12

25

1





11

15

6

16

12

2

7

17

3

8

13

18

4

9

14

5

10

26

18 inch SHELF in Base

27 28 29 30

18 inch SHELF in Base

19 20 21 22 23 24 25 26 27 28

4 ft 4 ft4 ft

SECTION: 1DEPARTMENT:

Exhibit 3 | Status of retailers IT usage for shelf space planning

Up-to-date technology

Started major upgrade

No IT support

Planned major upgrade

36%

21%

30%

13%

One of the outputs of category planning is the planogram. Planograms are visual representations of a store’s products — designed to ensure that the right merchandise is consistently on display, and that inventory is controlled in a way that ensures the right number of products on every shelf.

Measuring planogram compliance – An enduring struggle

With category management, and space planning in particular coming into spotlight, retailers are modernizing the way planograms are developed. According to a 2012 study, 70% of retailers had the latest planogram-building IT capability or were planning major upgrades to the way they managed shelf space planning5.

5. Retail category management: State-of-the-art review of quantitative research and software applications in assortment and shelf space management, 2012

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In order for planograms to work, all store merchandise must be arranged according to the planogram. Shoppers spend mere seconds in front of store displays, and anything less than 100% planogram compliance will be detrimental to sales.

Missing price tags, wrong product location and incorrect number of facings are just some of the considerations for verifying planogram compliance. When done right, planograms minimize inventory distortion in stores, align the store to pertinent consumer purchase preferences, and increase same stores sales by up to 9.2%6.

So the question is – are retailers monitoring if their stores are planogram compliant? The answer is yes – but with no real efficiency.

To understand current industry conditions, ShelfSnap, a leading in-store compliance and analytics solution provider, reviewed shelf-level compliance for key grocery retailers across US. In this study, store-specific planograms for 11 merchandising categories were compared to the real store shelves, making use of digital snapshots. The results revealed that on average, only 70% of the products on the plan were in fact on the shelves.7

6. Intelligent Shelf Compliance Solution Minimizes Inventory Distortion, Intel, 20127. 11 Categories Study on Shelf Compliance to Plan (Half center store, half DSD) conducted by ShelfSnap LLC

Shoppers spend mere seconds in front of store displays, and anything less than 100% planogram compliance will be detrimental to sales.

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Exhibit 4 | Planogram Compliance Measures: Low Tech and Lightly Used

ISI Network 30-sec Poll: “Planogram Compliance”

Spot or sample-based compliance audits

Store manager signs off when task is completed

Self-reported by reset teams using online tools

Compliance inferred from POS results

Comprehensive compliance audits

Self-reported by reset teams using wireless handheld devices

Technology, such as digital image or video analysis

Self-reported by reset teams using interactive voice response

Other (please write in comment box below)

48.5%

45.5%

36.4%

24.2%

3.0%

24.2%

18.2%

12.1%

18.2%

Q: What practice(s) or solution(s) do(es) your organization presently use to measure planogram compliance? (Multiple responses allowed)

Common reasons for poor compliance

Poor store mapping:Individual stores have unique physical characteristics and fixture layouts, so a standard plan does not always match reality.

Moving target:Planograms go out of compliance at the rate of 10% every week5. Considering that an average supermarket chain might have as many as 100 category planograms covering spaces that range anywhere from 4,000 to 80,000 square feet, shelf-set errors are often hard to spot and fix.

5. Retail category management: State-of-the-art review of quantitative research and software applications in assortment and shelf space management, 2012

8. ISI Network 30-sec poll - Planogram Compliance Measures: Low Tech and Lightly Used, 2009

Budget constraints:Since compliance degrades over time, retailers require continuous, costly surveys that often exceed budgets.

Lack of adequate IT maturity:Measures most commonly in use for planogram compliance rely on sample-based audits or spot-checks, and store-manager sign-offs.8

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Image Recognition – Enabling Retailers to See the Shelf like the Customer Does

Evidently, the ways a planogram can go wrong are numerous. Spotting compliance issues manually requires significant focus and time, and still not be fully accurate. A novel way of solving this problem is to automate planogram compliance through digital image processing.

Image recognition (IR) technology, having made waves in several industry spaces, is now increasingly being calibrated to an in-store context, purpose-designed for retailers and manufacturers. Computer Vision systems run complex image processing algorithms that turn digital images of the shelf (taken via a smartphone or auto-captured by fixed cameras or robots) into meaningful information and analytics around out of stocks, planogram compliance and much more.

Trax has developed patent-pending deep learning algorithms tailored to analyze information specific to retail.

What is Deep Learning?

Deep learning is essentially an especially effective type of machine learning, a way of having computers program themselves after gobbling up vast quantities of data. It involves feeding data to a large network of simulated neurons, which then gradually learn to recognize abstract patterns in that input. A trained network can then, for instance, spot objects in an image, or determine whether a new e-mail message is legitimate or spam. Deep learning is at the apex of evolving constellation of technologies that enable computers to simulate elements of human thinking—learning and reasoning among them.

Best in class solutions transmit the image to a cloud-based backend system where the images are compared to a product catalog and recognized. This is no small task because often the product can be small (like chewing gum) or rotated so that only a portion of the label is showing, or the package may be shiny (like a foil pouch).

Another key element of the logic compares an image of the actual shelf with the planogram for the corresponding category, and compute the compliance rate. Thus, two analytical modules are at play simultaneously9: one that identifies the product and compares it to a known catalog of items, and one

Milions of product images are uploaded weekly to our Trax cloud

Fuelling the most advanced computer vision recognition for retail

Neuron activation visualization

Classification heat map

Exhibit 7 | Trax Deep Learning Engine - Built for Retail

9. Gartner: Image Recognition: The Intersection of Digital Business and Analytics at the Store Shelf, 2014

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that compares a spatial relationship of how products are to be located on the shelf that includes both location and dimensions.

The resulting KPIs are funneled through state-of-the-art reporting and visualization tools to the right store employee for corrective action. For example, store associates get real-time alerts every time there is a planogram compliance issue. Management and head office teams can similarly track compliance rates across stores in a region, or compare across categories.

Exhibit 8 | IR-generated Planogram Compliance Dashboard

Proper planogram execution averts massive losses

Non-compliance has been proven to directly impact sales, arising from inventory distortion and under-utilization of available space. A P&G funded study has revealed that a 10% change in planogram compliance can result in a 1% change in the level of out-of-stocks, and consequently decrease the sell-out by 0.5%10. This translates to lost sales opportunity of $10 to $15 billion of the total $1.5 trillion in annual sales across the food, drug and mass merchandising channels, or $250,000 or more per store each year. Only flawless planogram execution can help capture those lost revenue opportunities.

10. Embedded Vision Sensor Network for Planogram Maintenance in Retail Environments, 2015

A P&G funded study has revealed that a 10% change in planogram compliance can result in a 1% change in the level of out-of-stocks, and consequently decrease the sell-out by 0.5%.

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Resolving the Out of Shelf Conundrum

Another pervasive and arguably even more critical issue that retailers face is related to in-store inventory. The goal of improving on-shelf availability (OSA) has been the retail industry’s unicorn. The industry out of stock rate remains at a sluggish 8%, and a 2015 study from IHL Group11 confirmed that out of stocks account for as much as 4.1% of lost revenue for the average retailer.

Consumers substitute, angry customers just defect

Shoppers say that product availability is a top 3 reason for where they shop, and when they cannot find the product they want, they respond in several ways. Most customers purchase a substitute product, and around one in eight ends up buying the item from a competitor12. Less common - but certainly prevalent — are cases in which an out-of-stock represents the ‘final straw’ for a shopper, and they defect to a competitor.

One in three shoppers in the US and UK blame the retailer when desired inventory was out of stock. This number rises to two in every three consumers in countries like France and Germany13. Even in emerging countries with smaller, more traditional stores, retailers take most of the blame in stock out situations.

The importance of availability in CPG

Not surprisingly, fast moving items incur proportionally greater OOS sales losses. These high demand items comprise just 20 percent of store volume but 80 percent of the total store sales in an average week. Retailers had almost

six times the levels of lost sales from high demand items being out of stock compared to low demand items14.

Measuring out-of-stock: Getting better, but not yet there

The retail and consumer industry has long been aware of the out of stock problem, and deserve praise for its efforts in recent years to understand and solve the problem. Due to sustained research initiatives, clarity is slowly emerging about the root causes of the problem.

As it stands today, few retailers can identify, with any degree of precision, the number of units of a given item available in their store at any time. The flow of product from a supplier or distribution center to the store may be systematically tracked, but the availability that matters is on the shelf—not in the stockroom.

Indeed, more than 50% of stock outs is proven to be caused by defective shelf execution practices, as opposed to upstream supply chain issues12. Factors like inventory record inaccuracy, misplaced SKUs and related shelf stocking problems are contributing to the majority of out-of-stock instances.

11. Retailers and the Ghost Economy: $1.75 Trillion Reasons to be Afraid, IHL Group, 201512. Getting Availability Right, Oliver Wyman, 201513. Retail Out-of-Stocks – A Worldwide Examination of Causes, Rates and Consumer Responses, GMA, 200214. A Comprehensive Guide to Retail Out-of-Stock Reduction in the Fast-Moving Consumer Goods Industry, P&G, 2007

More than 50% of stock outs is proven to be caused by defective shelf execution practices, as opposed to upstream supply chain issues.

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Manual store audits are the most common method used to monitor availability. Store staff makes multiple, sometimes as many as 20 “store walks” daily, checking for availability and planogram compliance. Every time a new product is introduced in a 1000-store chain, store associates are required to execute up to 700 million intricate tasks just to ensure the products are stocked up and the store stays in compliance15.

Exhibit 5 | Leading causes of out-of-stock at a typical grocery retailer

Shelf stocking problems

Nature of problemSource of problem

Inventory errors

Fore- casting mistakes

Other supply chain errors

Other store errors

Delivery errors

60%

15%

15%

0% 20% 40% 60% 80% 100%

100%

80%

60%

40%

20%10%

Corporate Supplier Warehouse Store

15. Forrester: Filling the Store Labor Productivity Gap, 2009

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Innovating for On-Shelf Availability with Image Recognition

One of the most popular and proven applications of IR is in identifying “missing items” or empty spaces on shelves. Because they capture shelf reality, IR solutions take factors inherent to manual store audits such as subjectivity, human bias or oversight out of the auditing equation.

A leading retailer recognized a big discrepancy between their “system inventory” and “physical inventory”. For example, their PI system showed 10 units of sweetened beverage remaining, whereas in reality, the beverage had already run out of stock. With traditional methods, the retailer was able to spot the issue only during the next store walk, or if a customer notified the store staff.

With Image Recognition, this phantom inventory problem was addressed by capturing shelf images through fixed cameras or

store strolling robots, and sending real-time alerts to store associates as soon as the beverage went out of shelf. Immediate corrective action was then taken to replenish the items.

State-of-the-art IR platforms also deliver the capability to compare the actual location of products with its location in the planogram. This way, store associates can stay on top of misplaced SKUs, so that they are visible and found at the location where customers expect them to be.

In addition, on-shelf availability data can be aggregated at any level, ranging from SKU, supplier and store all the way to category and region. This provides greater control and visibility for retailers to spot and fix this critical issue before it pervades deeper. Both suppliers and retailers can leverage the insights to optimize shelf restocking frequency, improve store ordering, and better estimate promotional velocity.

Inaccurate inventory records: Retailers recognize that warehouses and stores are sometimes out of sync – what the store orders is not what the warehouse delivers. This creates a discrepancy in the sales and product flow. For example, when the Perpetual Inventory (PI) system on-hand is greater than true physical product on-hand, the reorder system does not recognize how low store inventory levels are. This is more common than acknowledged. Out of stock rates due to inaccurate on-hand inventory can go up to 8.9%14 at retail chains.

Misplaced SKUs: Consumers often don’t find their desired products not, as typically assumed because the items were out-of-stock but rather because they were misplaced in a backroom, in other storage areas, or in the wrong aisle or location.

Duration of out of stock: Manual audits don’t give a good indication of how long a product is out of stock, making it impossible to quantify the missed sales opportunity with any degree of accuracy.

Businesses need to have the right metrics and technology to plug gaps in availability.

Overburdened store employees combined with the lack of robust technology systems leave the store vulnerable to out of shelf issues arising from multiple factors:

Because they capture shelf reality, IR solutions take factors inherent to manual store audits such as subjectivity, human bias or oversight out of the auditing equation.

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Next Gen Store Execution: Keep Your Store Relevant With Image RecognitionCase Study

An international retailing group with strong presence in the US leverages real-time alerts on shelf conditions to keep its end caps profitable

Solution

The retailer has implemented a fully automated Image Recognition solution that leverages fixed cameras mounted on shelf edges at several outlets in the chosen regions. Images of hundreds of SKUs across multiple categories are captured at 10 minute time intervals.

Store managers receive real-time online and mobile reports on out of stocks, empty spaces and planogram compliance. Trax Retail Watch also delivers recommendations and corrective actions that store staff leverage to fix errant shelves.

Expected benefits• Boost margins by equipping store managers and

warehouse managers with real-time SMS alerts on missing items and empty spaces at end caps

• Optimize store walks by enabling store staff to fix OOS cases for key brands and private labels

• Improve shopping experience by ensuring planogram compliance

Challenge

Retailers are constantly on the lookout for opportunities to create interruptions in shoppers’ path to purchase, in order to capture impulse sales. For this particular retailing group, end caps play a huge role not only in inducing impulse purchases but also attracting shoppers to adjacent aisles.

The retailer placed high-grossing products on end-caps, while also positioning high-affinity products in adjacent aisles to increase margins and basket size. To retain their attractiveness, end cap themes were also changed up once or twice a week on average. The retailer needed a robust tracking mechanism to ensure ROI on end caps. Further, shelves at other locations need to comply with planograms at all times. Most importantly, store managers needed to spot and fix out of shelf situations earlier in order to curb lost sales.

Exhibit 6 | Store Management Dashboard

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Reinforcing Promotions and Price Execution

Another important factor that influences the shopper purchase decision in store is promotion. Running promotions is proven to increase store traffic as well as topline sales. Price promotions, featuring, and display often play a role in consumers substituting stores to make their purchases. Typically, this triggers an uplift in the sales on non-promoted items as well. Research shows that 75 percent of the customers, whose main reason for the store visit is a particular retail price promotion, also purchase regular priced products16.

No wonder then that the volume of promotions that an average retailer runs in a year shows no signs of relenting. The question is: are these promotions achieving the primary objectives of increasing sales? The

cold reality, in fact, is that 20-50% of promotions generate no noticeable lift in sales, or worse have a negative impact. Another 20-30% dilute margins in that they don’t generate an increase in sales sufficient to offset promotion costs17.

Many failures stem from fundamental flaws in the strategy and configuration of promotions. However, a sizeable chunk is also attributable to promotional execution in the store. For example, the out of stock rate for promoted items is 10 percent, exceeding the industry average for out of stocks18. The huge media investments, costly market research, and weeks of internal planning are all for nothing if the campaign is not executed effectively in the store.

Right product• Are my promoted products

available?• Are they in the right quantities?• Does the product have adequate

facings to be visible to the consumer?

Right displays• Is the right point of sale material

displayed to convey the promotion?

• Are the displays in the right location? (On the “racetrack”, endcap etc.)

Right price• Are the right prices being

displayed?• Are there any missing price

tags?

Retailers struggle with the following burning questions:

16. Direct and Indirect Effects of Retail Promotions, Universiteit Gent, 200317. BCG: How retailers can improve promotional effectiveness, 201618. FMI/GMA: Solving the Out-Of-Stock Problem, 2014

20-50% of promotions generate no noticeable lift in sales, or worse have a negative impact.

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Deep learning systems powered by Computer Vision technology can recognize everything on the shelf, including shelf tags and unique product codes. Store managers can ensure that price on shelf-edge labels reflect the feature price. Retailers can improve supplier relations due to consistent compliance as well as avoid margin erosions stemming from undercharging.

Similarly, IR solutions track the presence of a range of point of sale materials like streamers, wobblers, buntings, posters, dummy packs and more. Robust promotion execution could be the difference in the retailer not only converting store visits into sales, but also securing consistent rebates with manufacturers.

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A large American multinational retail corporation prevents price tag inaccuracies and out of shelf issues through instant, interactive planogram compliance reports from Trax

Solution

The retailer has implemented the Trax mobile application through which store associates capture images of the shelves. Hundreds of SKUs across multiple categories are monitored at pre-defined time intervals.

Trax tracks price change across all stores, identifies missing and incorrectly placed price tags, and also raises a flag if price on tags are inaccurate.

Store managers also receive real-time online and mobile reports on out of stocks and planogram compliance. Trax Retail Watch also delivers recommendations and corrective actions that store staff leverage to fix errant shelves.

Challenge

One of the complexities of retail store operations is price management. Staying on top of ever-varying prices of innumerable SKUs is extremely labor-intensive. A large retailer may replace as many as 5 million shelf-edge labels every week19. In view of this formidable volume, this retailer needed a strong price compliance mechanism to avoid a systematic inaccuracy of scanned prices.

In addition, the chain store also needed a future-proof method to monitor planogram compliance and out of shelf issues.

Exhibit 7 | Management Dashboard for Regional Operations and Business Teams

Case Study

19. In-store Innovation at Tesco, 2012

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Improving Customer Experience through Strategic Store Execution

In order to regain visibility and control of the store, and transform shelf effectiveness, Trax recommends that retailers adopt a four-step strategic framework:

1. MEASURE your in-store execution in real-time2. UNCOVER in-store gaps & category opportunities3. EMPOWER your teams to make data-driven decisions 4. IMPLEMENT the right shelf strategies in every store

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UNCOVER in-store gaps & category opportunities To discover in-store problems that they didn’t know existed, put corrective measures in place, and scale them company-wide, retailers need more than just reporting tools.

Trax Retail Watch is a system of insight that provides an unprecedented level of granular actionable insights from market level down to the shelf.

Markets & Regions

Stores & Floors

Categories

SKUs

MEASURE your in-store execution in real-time With Trax, retailers can track store health by measuring in real-time the key KPIs critical to top-line growth.

Trax’s 5P health check

Presence

• Distribution• Out of stock• Share of shelf

Position

• Product location• Shelf standards

Planogram

• Planogram compliance• Realogram• Heat map

Promotions

• POSM• Exhibitions• New product

Pricing

• POSM• Price alignment

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EMPOWER your teams to make data-driven decisions Every team in the organization has its own unique information needs. Be it a category captain looking for revenue growth, or a store manager trying to improve shopping experience, everyone needs the right data to perform at their peak. Trax provides real-time information from store to HQ teams to perfect in-store shopping experience and drive revenue growth.

Regional Operations Manager:Compare similar store performance by assessing targets for OOS reduction, planogram and pricing compliance

Store Manager:Ensure high planogram compliance rates through store-level insights, and also monitor store health over time

Store Associate:Get real time alerts to correct shelf conditions and uplift critical KPIs like OOS, price compliance and more

Category Manager:View real-time shelf and category sales trends to devise store level shelf strategies and targeted in-store campaigns

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Best practices can be identified and replicated chain-wide, ensuring the best in-store experience for shoppers, driving more trips and bigger baskets.

Planning and strategy teams should be able to assess how customers are reacting to in-store conditions. This is possible by examining how various store execution indices are impacting sales.

Exhibit 8 | Dashboard to Assess Impact of Store Execution of Sales

IMPLEMENT the right shelf strategies in every store

According to P&G, the 3-7 seconds after a shopper first encounters a product on a store shelf constitutes the First Moment of Truth. It is in these precious few seconds that brands and retailers have the best chance of converting a browser into a buyer by appealing to their senses, values and emotions.

• Position on Shelf• Right Assortment• Right Price

Maximise Category Growh

• New Product Launch• Promotions• Right Display

Delight Your Shoppers

• On-Shelf Availability• Planogram Compliance• Store Ops Optimization

Perfect Your Store

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Conclusion

Shopping experience is one of the leading indicators of effective retail strategy today. With nearly 90% of all transaction volume coming from store sales, retailers need to constantly refresh their merchandizing, inventory and operations execution in order to create the “perfect store”.

Image recognition analytics is among the hottest innovations in retail technology that enables retailers and brands to see the store the way the shopper does. This way, everybody wins:

Shoppers will experience an improved in-store look and feel because store shelves will be better organized with less chance of out-of-stocks. It won’t be necessary to wait for a clerk to restock the shelf from backroom inventory since they will have already received and responded to an alert.

Retailers will gain absolute visibility and control of shelves to better manage store operations, augment store staff productivity, and drive more trips and bigger baskets.

Manufacturers will get quick, quantitative data to facilitate better relationships with retailers, and maximize brand awareness and sales.

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What’s next?If you are ready to take decision making out of the office, equip the right people with the right insights and stay close to your customer, work with Trax to get access to shelf truths that you can trust.

Request a consultation at http://info.traxretail.com/get-started-trax-retail-watch

AuthorsManu Krishna, Senior Manager, Global Marketing at Trax Image Recognition ([email protected])Shlomi Dayan, Head of Retail Solution Unit at Trax Image Recognition ([email protected])

Trax Image Recognition

@TraxImageRecognition

Trax Image Recognition

June 2016. © 2016 Trax Image Recognition. All Rights Reserved.This document and the information contained herein is confidential; This document is provided for information purposes only for the exclusive use of the recipients to whom it is addressed and the contents hereof are subject to change without notice. Whilst the information contained herein has been prepared in good faith, it is not warranted to be error-free, nor subject to any other warranties or conditions, whether expressed orally or implied in law, including implied warranties and conditions of merchantability or fitness for a particular purpose. Trax specifically disclaim any liability with respect to this document and no contractual obligations are formed either directly or indirectly by this document. Any reproduction, retransmission, republication, translation, or other use of, all or part of this document is expressly prohibited, unless prior written permission has been granted by Trax. Trax, the Trax logo and other all other Trax trademarks, logos and service marks used in this document are the trademarks or service marks of Trax and its affiliates. All other marks contained herein are the property of their respective owners. Trax has intellectual property rights relating to technology that is described in this document.

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Documents

Next Gen Store Execution - Trax Image Recognitioninfo.traxretail.com/hubfs/Next_Gen_Store_Execution_Whitepaper.pdf · 2 2 The Customer at the Center of Retail Operations Contents