De waarde van zeer nauwkeurige instore navigatie en instore analytics- Kevin Raaijmakers| Philips

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Transcript of De waarde van zeer nauwkeurige instore navigatie en instore analytics- Kevin Raaijmakers| Philips

Life Cycle Services

Beyondillumination

Intro3

Urbanization, our mission to provide lighting without the abuse of energy for 70 billion lightpoints in 2030.4

Light for everybody5

Light impacts our daily life, it runs our biorithm.6

This is what we know, this is all programmed, but what if we would connect light to the internet and use big data to improve our lives: welcome to connected lighting from Philips7

How people shop in 2030

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Bringing online techniques into offline retail

nr.Lighting accents to attract shoppers to the Hero categories

Highlight gondolas with promotion articlesWith Crisp White LEDs

Highlight Starbucks CoffeeWith 827 champagne LEDs

Highlight fresh food counterWith Champagne 827 LEDs

Highlight healthy snacks & JaminWith 830 warm white LEDs

Highlight breadWith champagne 827 LEDs

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AnalysesHow do customers walk through the store measured by counting specific line crossings.

How to readWith every 100 customers entering the store in the red area 7 crossings to the left, 31 straight and 72 to the right are generated.

InsightsAfter entering the store the majority of the customers immediately turn right. Most customers enter the register area from below..Turning left after entering is not an attractive option. Most of the customers exit the store anti clockwise. We can identify two cold zones in the shop: bottom left and bottom right.

Heart of the store around central gondola. Two cold zones identified.Shopper routing without highlights (percentage of total customers)

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Conclusions that can be drawn:1.We can distinguish a dominant flow in the shop. People move against the clock, right in and left out on the map. This is normal behavior.2. After entrance directly to the left is not an attractive option for customers. They predominantly move through the middle of the shop.3. Right side of the shop is not being used intensively by the customers.

Red bull: in WIC directly opposite of gondolaTwo cold zones: left bottom and right bottom.Left gondola needs more nonfood on the left side of that gondola. Advice Art: more coffee related products on gondola (right side of the left gondola). This people cross on their journey to Starbucks, in this way their basket is filled. Now they have oil over there.The right side of the 2nd gondola and the left side of the 3rd gondola are hotspots. A lot of traffic here. Advice: put more impulse products over there because that is main route for customers. Important for Shell to know: does the vitrine with bread on the right side of the shop needs to be positioned to left or to the right. Link this to the shopper flow.The line of sight to the Starbucks after entering is not good. The gondolas need to have another shape (round). Or they can for instance position the ice on the left side to attract more people to the left side of the shop.Interesting for Shell: which people go directly to register and directly to exit? We cant answer that now.

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Circle represents whole area with same colorSize circle = amount of customers to the respective area

Arrow represents crossing counts to the respective directionThickness arrow = amount of crossing counts

Number = percentage crossing counts relative to entrance counts

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AnalysesHow do highlights influence the routing and presence of shoppers.

How to readWith every 100 shoppers entering the store, in the Jamin area 2 more presence detections are generated with highlights compared to the situation without highlights.

InsightsThe traffic to the Jamin increases on the highlight days from 7% to 9%. This means an increase of almost 29% or 2 percentage points.These additional shoppers mainly come from the bread area. Also 2% (percentage points) of all shoppers travel from the Jamin back to the Bread area.

Effect highlights: traffic increase of 29% or 2 percentage points to Jamin area.Increase in routing and presence as result of highlights (percentage of total shoppers)

+2%+2%

nr.Zoals gezegd 3 verschillende scenes per dag op de highlight days. Bedoeling om meer mensen naar de Heros te trekken. We zijn in staat geweest om 2 procent punten meer traffic te genereren (gemiddelde dag) naar Jamin, en 2 procent punt meer presence. De meeste mensen komen vanaf de brood area. Dit betekent dus dat doordat deze deze meer worden uitgelicht de traffics toeneemt. Betekent dus bv van 7% naar 9%, wat in feite dus een toename van 30% is. Rest winkel niet. We merken dat we aan linker kant sinds verzetten van de tafel leakage hebben. Wij significants gevonden dus daar. 13

The power of Indoor navigation

Preciselocation detectionOur software determines the real-time and exact position of the phone. Our software is available as a software development kit for integration into your customer application.

Using Coded Light, LED fixtures send a unique code that can be detected by the camera of a smartphone.

The position of the fixtures is storedin a location database in the cloud. PhilipsCustomer

Product information

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visuals

Promotions17

Navigation18

Online services

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Loyalty benefits (gamification)

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Assistance

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Crowdedness

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November 20, 2015 Research/ eXperiences Research Internal use onlyMost popular use cases per country

Use cases that score above average%Price comparisons78Personalized promotions74Fastest check-out lane74Collecting loyalty points by following instructions73Hunt for temporary promotions72Wheel of fortune72Info promotions at your location71Search products and get route71Product details69Request help69List with promotions closest to you67Add personalized offers to route66Product comparisons64Find store employee on map64Crowdedness store64Most efficient route from shop list63Search for partner61

Use cases that score above average%Personalized promotions78Collecting loyalty points by following instructions69Price comparison68Fastest check-out lane68Wheel of fortune68Hunt for temporary promotions68Info promotions at your location63List with promotions closest to you62Product details61Search products and get route61Request help59Add personalized offers to route57Product comparisons56

Use cases that score above average%Hunt for temporary promotions71Price comparisons66Personalized promotions64Fastest check-out lane64Product details63Search products and get route62Info promotions at your location61List with promotions closest to you60Most efficient route from shop list59Add personalized offers to route53Wheel of fortune53Crowdedness store53Collecting loyalty points52Request help49Find store employee on map47

Shopping Experience personal and funEfficient & cheapShopping Experience Price, personal and fun

24Shopper TrajectoryRetailer questionHow to profile my customers?How does a typical shopper journey look like? Where did they pause but didnt buy? InsightsThis Grocery shopper has visited all of the grocery aisles, cheese/wine aisle and snack area

Value to retailerUnderstand unpurchased needsPersonalize promotions before next visit

Shopper typology | Grocery shopperDwell duration | 63 minutes

XWheras the grocery shopper or the browser has a much longer trajectory and seems to be walking at the same pace in several aisles. XCarrefour Euralille, week 19 25, 2016

NotesOnly valid trajectories are considered for this heatmapColor coding is tuned to highlight density inside the store which is lower than density near entrance or cashier areaFor example, geo grids with 10000 samples and 100 samples will show dark red color coding.

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Testing Virtual Reality with Lighting

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Light beyondillumination

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Youve seen how we are taking Light Beyond Illumination

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