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 JONAS MARCINKĖNAS
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Delivering the best service at the lowest cost
Queuing to pay is one of the most critical & emotional
part of a retail operation


                               Ca h rc s sa eal r e% o
                                 s ie o t r    ag     f
                               so e c ss
                                trs o t
                               Op im in c s s&in r a e
                                 t is g o t     c es
                               p o u t it
                                r d c iv y
                               M in a SERVICEr v c LABOUR COSTSr ic
                               CUSTOMER /I p o e u t m rs v e
                                 a t in m          so e e
                                   Customer              Labour large % cost
                                  satisfaction           Waste of valuable
                                   Shop frequency &      resource
                                  spend                  Efficiency &
                                   Customer loyalty      Productivity
                                   Market share          Reduced profits
                                   Lost sales
Two parts to the solution
 Getting the right people in the right place at the
 right time


Getting the right number of cashiers        Getting the right number of cashiers
   into the store at the right times            on the tills at the right times




Irisys Lane Scheduler                                 Irisys Queue Predictor
     (Supplementing WFM systems)              (Managing queues in real time)
A Proven solution
Improve customer service & reduced costs




                       “Thanks to this system, a quarter of a million more
                       customers every week don’t have to queue.”
                       Sir Terry Leahy, Chief Executive, Tesco
  Over 1,000 stores

                       “The cameras were a key factor is the company’s half year
                       pre-tax profits rocketing 10%.”
                       Sir Terry Leahy, Chief Executive, Tesco




  Over 450 stores      “We have invested in a solution that will not only help us
                       deliver a better shopping experience to our customers, but
                       function more efficiently as an organisation.”

                       “We are achieving significant cost savings, and fully expect
                       the system to pay for itself within our projected
                       timescales.”
   Over 2,300 stores   Sylvia Jones, Head of Central Retail Operations, Morrisons
Uses thermal technology
Monitors movement of people by their body heat


      Hig c u t c u a y ~ 8
         h o n a c r c ( 9 %)
      F e ib et c a g sinl h in c n it n &c a g st
       lx l o h n e       ig t g o d io s  hn e o
      bcg o n
       akrud
      U b a a l c s v p r o m n e( u c a e in t l &
       n e tbe o t s e f r a c p r h s , sal
      s po t
       u p r)
      L wc s o o n r h ( T F+ 2 y a s
       o  o t f w e s ip M B   5 er)
      M n o sb b d h a : Nos a fo c s o e p iv c
       o it r y o y e t     t f r u t mr r a y
      is u s P c m l n .
        s e . Ci o p ia t




                                     Irisys thermal image
                                     Video for demo purpose
Managing queues in real time
Installed in over 1,000 supermarkets in UK




Automate the capture of accurate queue data to measure their
‘OIF’ performance




‘One In Front’ promise                       Number of ‘shopping units’ in the queue
Accurate people & queue counting
 Installed above more than 40,000 checkouts worldwide


Monitors customer behaviour in real time to accurately determine queue
length (shopping units) and wait time across all checkout types




Door Counter                                  Manned Tills




Snaking queues (self learning)               Self Checkout and Kiosk queues (self learning)
Managing queues in real time
  Smaller inner-city stores




Manage customers perception of wait time to increase footfall & conversion rate




                                                   Entrance to snaking
  Entrance to store                                             queue




  In selective stores
Managing queues in real time
700+ Superstores & Extra stores




Measures the stores performance against their ‘One In Front’ promise




                                         Ideal cashier labour
OIF performance for                      curves supplement
previous 15 minutes                      WFM systems
Finding the optimum service / cost balance
Install system into a store to measure current
performance & model future KPI’s

 (March 2011)                                           Supermarket   Hypermarket

 Weekly average 1+2 performance                            59%           36%
 - Monday to Thursday                                      64%           40%
 - Friday                                                  54%           34%
 - Saturday                                                35%           24%

 Average cashier hours used on tills per week              240           608
 Average hours needed per week to deliver 1+2 service
 - 90% of customers receiving a 1+2 service                226           572
 - 80%                                                     223           569
 - 70%                                                     219           564
 - 60%                                                     208           560
 - 50%                                                     208           560
 - 40%                                                     208           560
 - 30%                                                     208           560
F r c s in t eid a n m e o t l
 o e a t g h e l u b r f il s
n e e a r s t ed y om in a t e
 e d d c o s h a t a t in h
d s e s r ic l v l n d l e t e
 e ir d e v e e e a d e iv r h
f r c s e s l sr v n e
 o e a td ae e e u .
If you have multi-skilled flexible labour
Further increase cost efficiencies and service level performance


      P e ic st eo t u n m e o c e k u s
       r d t h p im m u b r f h c o t
      n e e in5 0 5&3 m u e t m in a t e
       ed d    ,1 ,1 0 in t s o a t in h
      d s e s r ic l v l ( .g 1 1 1 2
       e ir d e v e e e . e . + , + )
                               Lanes
                               Open         Action
                                            Now            30
                              3                            minutes
                                              3
                                                              6
Managing queues in real time
 Shop floor dashboards to suit your business objectives




                                                                           VGA Displays




a) Manned Checkout Predictor                                                  iPads




                                                                           Phones & PDA’s




     Fast Food Dashboard                     Multi-bank Food & General   Pagers & Headsets
                                             Merchandise
A proven ‘retail hardened’ solution
 Monitors queue in 4,000+ stores across 40,000+ checkouts worldwide




Measures performance against OIF             Queue Predictor displayed              Customer facing Queue
metric & feeds WFM                           on mobile devices to                   Predictor screens
Small city stores: Manage customer           manage queues in real time
perception of wait time
                                                                                    communicate positive
                                             on the shop floor                      service to customers

   A u t o m a t e d ‘ O n e In            P r e d ic t iv e Q u e u e           P r e d ic t iv e Q u e u e
                 F ro nt’                      Ma na g e me nt                       Ma na g e me nt
i n s t a l l e d i n o v e r 1, 0 0 0 i n s t a l l e d i n o v e r 4 5 0 i n s t a l l e d i n o v e r 2 , 3 0 0
                 s to re s                             s to re s                            s to re s
Performance Reports
Drive improvements in service & cost efficiencies




Weekly Summary Report             Customers receiving 1+2 service                    Predictor Compliance




Lane report showing how well
                                   SCO compliance against usage & queue   Create your own reports & league
queues are spread                  metric                                 tables
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Eiliu valdymas realiu laiku

  • 1. Inovatyvus tradicinių kasų eilių valdymo realiu laiku sprendimas  JONAS MARCINKĖNAS Svarbių klientų vadybininkas
  • 2. Delivering the best service at the lowest cost Queuing to pay is one of the most critical & emotional part of a retail operation Ca h rc s sa eal r e% o s ie o t r ag f so e c ss trs o t Op im in c s s&in r a e t is g o t c es p o u t it r d c iv y M in a SERVICEr v c LABOUR COSTSr ic CUSTOMER /I p o e u t m rs v e a t in m so e e Customer Labour large % cost satisfaction Waste of valuable Shop frequency & resource spend Efficiency & Customer loyalty Productivity Market share Reduced profits Lost sales
  • 3. Two parts to the solution Getting the right people in the right place at the right time Getting the right number of cashiers Getting the right number of cashiers into the store at the right times on the tills at the right times Irisys Lane Scheduler Irisys Queue Predictor (Supplementing WFM systems) (Managing queues in real time)
  • 4. A Proven solution Improve customer service & reduced costs “Thanks to this system, a quarter of a million more customers every week don’t have to queue.” Sir Terry Leahy, Chief Executive, Tesco Over 1,000 stores “The cameras were a key factor is the company’s half year pre-tax profits rocketing 10%.” Sir Terry Leahy, Chief Executive, Tesco Over 450 stores “We have invested in a solution that will not only help us deliver a better shopping experience to our customers, but function more efficiently as an organisation.” “We are achieving significant cost savings, and fully expect the system to pay for itself within our projected timescales.” Over 2,300 stores Sylvia Jones, Head of Central Retail Operations, Morrisons
  • 5. Uses thermal technology Monitors movement of people by their body heat Hig c u t c u a y ~ 8 h o n a c r c ( 9 %) F e ib et c a g sinl h in c n it n &c a g st lx l o h n e ig t g o d io s hn e o bcg o n akrud U b a a l c s v p r o m n e( u c a e in t l & n e tbe o t s e f r a c p r h s , sal s po t u p r) L wc s o o n r h ( T F+ 2 y a s o o t f w e s ip M B 5 er) M n o sb b d h a : Nos a fo c s o e p iv c o it r y o y e t t f r u t mr r a y is u s P c m l n . s e . Ci o p ia t Irisys thermal image Video for demo purpose
  • 6. Managing queues in real time Installed in over 1,000 supermarkets in UK Automate the capture of accurate queue data to measure their ‘OIF’ performance ‘One In Front’ promise Number of ‘shopping units’ in the queue
  • 7. Accurate people & queue counting Installed above more than 40,000 checkouts worldwide Monitors customer behaviour in real time to accurately determine queue length (shopping units) and wait time across all checkout types Door Counter Manned Tills Snaking queues (self learning) Self Checkout and Kiosk queues (self learning)
  • 8. Managing queues in real time Smaller inner-city stores Manage customers perception of wait time to increase footfall & conversion rate Entrance to snaking Entrance to store queue In selective stores
  • 9. Managing queues in real time 700+ Superstores & Extra stores Measures the stores performance against their ‘One In Front’ promise Ideal cashier labour OIF performance for curves supplement previous 15 minutes WFM systems
  • 10. Finding the optimum service / cost balance Install system into a store to measure current performance & model future KPI’s (March 2011) Supermarket Hypermarket Weekly average 1+2 performance 59% 36% - Monday to Thursday 64% 40% - Friday 54% 34% - Saturday 35% 24% Average cashier hours used on tills per week 240 608 Average hours needed per week to deliver 1+2 service - 90% of customers receiving a 1+2 service 226 572 - 80% 223 569 - 70% 219 564 - 60% 208 560 - 50% 208 560 - 40% 208 560 - 30% 208 560
  • 11. F r c s in t eid a n m e o t l o e a t g h e l u b r f il s n e e a r s t ed y om in a t e e d d c o s h a t a t in h d s e s r ic l v l n d l e t e e ir d e v e e e a d e iv r h f r c s e s l sr v n e o e a td ae e e u .
  • 12. If you have multi-skilled flexible labour Further increase cost efficiencies and service level performance P e ic st eo t u n m e o c e k u s r d t h p im m u b r f h c o t n e e in5 0 5&3 m u e t m in a t e ed d ,1 ,1 0 in t s o a t in h d s e s r ic l v l ( .g 1 1 1 2 e ir d e v e e e . e . + , + ) Lanes Open Action Now 30 3 minutes 3 6
  • 13. Managing queues in real time Shop floor dashboards to suit your business objectives VGA Displays a) Manned Checkout Predictor iPads Phones & PDA’s Fast Food Dashboard Multi-bank Food & General Pagers & Headsets Merchandise
  • 14. A proven ‘retail hardened’ solution Monitors queue in 4,000+ stores across 40,000+ checkouts worldwide Measures performance against OIF Queue Predictor displayed Customer facing Queue metric & feeds WFM on mobile devices to Predictor screens Small city stores: Manage customer manage queues in real time perception of wait time communicate positive on the shop floor service to customers A u t o m a t e d ‘ O n e In P r e d ic t iv e Q u e u e P r e d ic t iv e Q u e u e F ro nt’ Ma na g e me nt Ma na g e me nt i n s t a l l e d i n o v e r 1, 0 0 0 i n s t a l l e d i n o v e r 4 5 0 i n s t a l l e d i n o v e r 2 , 3 0 0 s to re s s to re s s to re s
  • 15. Performance Reports Drive improvements in service & cost efficiencies Weekly Summary Report Customers receiving 1+2 service Predictor Compliance Lane report showing how well SCO compliance against usage & queue Create your own reports & league queues are spread metric tables

Notes de l'éditeur

  1. . Daug sviestu, daug pienu, daug sampunu. Svarbu pasiekti pirkeja sprendimo priemimo momentu. 2. Remiantis tuo kad 92 proc. atsizvelgia i draugu nuomone ir pan. ‚ o reklama tik 25 proc. kad pirkejas rekomenduotu draugu svarbu kad jam butu islikes geras ispudis apie prekes, apsipirkima, aptarnavima. 3. 4. Kai dideles eiles – palieka krepselius ir eina i kita parduotuve (kai eiles 5-7 zmones). 5. Pirkejas tampa preky Pelno per pirkėją padidinimas
  2. . Daug sviestu, daug pienu, daug sampunu. Svarbu pasiekti pirkeja sprendimo priemimo momentu. 2. Remiantis tuo kad 92 proc. atsizvelgia i draugu nuomone ir pan. ‚ o reklama tik 25 proc. kad pirkejas rekomenduotu draugu svarbu kad jam butu islikes geras ispudis apie prekes, apsipirkima, aptarnavima. 3. 4. Kai dideles eiles – palieka krepselius ir eina i kita parduotuve (kai eiles 5-7 zmones). 5. Pirkejas tampa preky Pelno per pirkėją padidinimas