Here, you will gain insight on how to use Product Price Monitoring and Competitor Tracking as strategic tools for your retail business. You will understand how to power your dynamic pricing by leveraging competitor product pricing and in-stock status. You can also strengthen your knowledge about how retail competitive analysis can help you gain a competitive edge and optimise your retail ROI. KEY TAKEAWAYS: 1) Tracking competitor pricing and product pricing. 2) Competitor pricing analysis and insights. 3) Repricing at scale with competitor data. 4) Avoid the “race to the bottom” by detecting competitor strategies. 5) Comparison between a brand’s assortment and its competitors. 5) Suggested Retail Price compliance by resellers to track. 6) Manufacturers Leveraging the latest techniques for Product Mapping and more… Watch the recorded session here: https://jktech.com/webcast/competitor-pricing-intelligence-can-increase-your-retail-gmv-by-6/

1. LEVERAGING COMPETITOR
INTELLIGENCE FOR GROWTH &
PROFITABILITY
DISCOVER OPPORTUNITIES AND INSTITUTE DATA DRIVEN
DECISIONS, LEADING TO HIGHER SALE AND CUSTOMER EXPERIENCE
WEBINAR

2. Agenda Our PoV On Retail And Consumer Packaged Goods (CPG)
Competitor Benchmarking
⎼ Case Study
⎼ Integration and Value Delivery
External Data Sources Worth Considering
Customer Success
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3. Without the right price, the right
moment is not going to happen
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4. Morethan60%ofCustomers
lookedupthefollowing
informationaboutaproductwhile
inashop
The Problem
4
65%ofcustomerscomparepricesandfeaturesonlinebeforethey
makeapurchasedecision…
Price&AssortmentIntelligenceiscriticaltothesuccessofeCommerce

5. Covidhasincreasedvolatility,andbusinessesneedtorespondin
real-time…
5
Inflation &
frequently
changing prices
Accelerated
digitization
Volatile and less
predictable supply
chain
The Problem
Real-timerepricingiscriticaltowinningineCommerce

6. Algorithms relying on data of
the last 2 years may need to be
revisited. COVID has rendered
history data unreliable and
unusable.
Time Series methods WILL NOT
WORK

7. Understanding competition,
and using those insights to
drives pricing, promos,
assortment and marketing IS
THE FASTEST ON TIME TO
VALUE
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8. The best enterprises will
combine enterprise data with
competition data, and
external data, such as POI
(Point of Interest) data,
Census data.
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9. A Retailer client of ours
increased GMV by 6% by tracking
competition, and intelligently
matching prices.
While still tracking profitability
goals.
Sounds interesting?

10. The Problem RETAILERS/ BRANDS LOSE BILLIONS OF DOLLARS DUE TO POOR DISCOUNTING,INACCURATE
PRICINGAND UNAUTHORISEDPROMOTIONS
REAL-TIME
COMPETITION
INSIGHT
Lack of clarity into your
competitor’s pricing
structure can cause
delays with price
changes and leave you
lagging in the market.
POOR CUSTOMER
RETENTION
If prices are not
uniformly competitive
across all SKUs,
customer retention
decreases, and customer
experience suffers.
BRAND
COMPLIANCE
MONITORING
Businesses lose billions
in goodwill, brand equity
and pricing power if
their resellers undercut
pricing policies and offer
unauthorised
promotions
REAL-TIME
SUPPLIER PRICING
INSIGHT
Failure to negotiate with
suppliers can create
internal issues when
expectations aren’t
met, and purchase
orders aren’t fulfilled
OPTIMAL PRICING
STRATEGY
Failing to incorporate
pricing and market
research from the
beginning of the product
development process
leads to poorly
differentiated offerings.
USELESS IF TOO
SLOW OR TOO
FAST
Dynamic pricing must
move at the speed of
competition to stay truly
competitive. This is
difficult.
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11. The Need TO MOVE TOWARDS CONSCIOUSCOMPETITIVENESS– AT SCALE AND SPEED
Blindly matching
competitor prices
Conscious pricing choices
– at scale and speed
Chaos Positioning
Unconscious Conscious
Uncompetitive
Competitive
Race to the bottom
Higher GMV & Profits by selective
matching & avoiding unnecessary
markdowns
Lack of timely data to make pricing
choices
Making a brand statement by
deliberately keeping higher prices
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12. Competitor Benchmarking
A one stop solution for better sales & higher margins

13. The Competitor Benchmarking platform analyses competitor activity to enable
better decisions…
MACHINE
LEARNING DRIVEN
DISCOVER NEW
PRODUCT
INTRODUCTIONS
ONGOING PRICES
AND DEALS
COMPETITION
TREND ALERTS
ACTIONABLE
TOUCH POINTS
IDENTIFIES
SIMILAR
PRODUCTS
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14. Competitor Benchmarking delivers actionable insights…
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JK Tech. All Rights Reserved. | Confidential
Collate Prepare
Integrate into business process, measure
and improve
Gather
Cleanse
Cleanse
Quality Analysis
Enrich
Annotate
Visualise
Make Model-Ready
Integrate into enterprise systems for action

15. The Competitor Benchmarking Platform delivers detailed competitor insights and
better sales and higher margins…
Higher GMV due to price
matching
6-8% Higher Profits by avoiding
unnecessary markdowns
1-2.5% Better Assortment
20%→
PRODUCT
ASSORTMENT
PRICES INVENTORY
STATUS
PRODUCT
REVIEWS
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16. Competitor Benchmarking helps answer the following questions
Pricing Analytics –
Improve conversions & GMV
• What is my competitors’
range of prices? Where do I
stand at higher or highest?
• How many products do my
competitors have in each
category?
• How do prices vary by
channel?
• Am I priced above or below
my competition?
• What are the price spreads
with a product category?
• How do I compare a specific
product?
Assortment Analytics –
Enhance and personalise
assortment
• What are the assortment gaps
with respect to competition?
• What product attributes are
most popular?
• What are the new products
and brands that we need to
consider carrying? By store
/location/warehouse?
Brand Protection
• Which resellers/ markets have
MAP (Minimum Advertised
Price) violations that erode
my brand?
• What is the pattern of MAP
violations?
Promotions Analytics
• What promotions is our
competition running vis-à-vis
our promotions?
• Where should, and where
should we NOT match
competitor promos and
markdowns? (e.g. where they
have promoted a product that
is out of stock)

17. and the following qualitative benefits and abilities…
17 | September 21, 2022 | Copyright © 2022,
JK Tech. All Rights Reserved. | Confidential
Informed
pricing
decisions
Avoid the “race
to the bottom”
Being abreast
of product
trends
MAP
Compliance
and Preserving
Brand Equity

18. Case Study

19. Exemplar Client Problem Statement
Understand competition, pricing, assortment
and use that to improve strategies,
specifically:
▸ Assortment
▸ Pricing
“Working with JK Tech was an excellent
experience and they have helped us to
better understand our pricing in
comparison to our competitors.”
— Client Statement
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20. Results Summary – Delivered insights on ~1200 products…
Products Missing on ABC
800 Products Shortlisted for
onboarding
35 Brands Shortlisted for
onboarding
13
Competitors Analysed
11 Total Products
394 Products Monitored
262
Price Monitoring
Assortment Monitoring
Illustrative Outputs and Analytics

21. An assortment match of ABC products on competition was performed...
Illustrative Outputs and Analytics

22. Competitor Benchmarking dashboard provides price intelligence…
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JK Tech. All Rights Reserved. | Confidential
Illustrative Outputs and Analytics

23. Competitor Benchmarking dashboard provides actionable insights
Illustrative Outputs and Analytics

24. Competitor Benchmarking dashboard provides price by date
Illustrative Outputs and Analytics

25. Top Findings and recommendations
Illustrative Outputs and Analytics
Recommended repricing for
products priced either highest or
lowest in the market
There is significant opportunity to
expand the assortment for the
whiskey category as there seem to
be significant number of brands
missing on the ABC Platform
Most products are priced
reasonably well below the market
average

26. Benefits for the Client
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JK Tech. All Rights Reserved. | Confidential
Illustrative Outputs and Analytics
Objective data as the
base for pricing and
assortment decisions
Enables ABC to win
the game by knowing
their competition,
continuously
Delivered a clear set of
products and brands
to be onboarded
A clear set of products
on which they can
consider a price
decrease if
appropriate to
improve sales
A set of insights that
operations and
merchandisers can use
for their actions

27. Customer Success

28. Improving sales and capital management
THEPROBLEM
Post-COVID, Erratic demand patterns lead
to lost sales and inefficient use of working
capital
↘ identifying supply hotspotswithin days after pandemic
↘ rebalancing stocks across stores optimally
↘ selecting the right external data sources for enhanced accuracy
↘ identifying and quantifying categories that pick up or lose out
THE SOLUTION
Demand forecasting AI models recovery
scenarios across categories
Comp Intelligence based Pricing
interventions
↘ Classify products into one of Rapid bounce back, Slow, gradual, double dip or structurallyaltered
↘ optimised phased reopening of stores
↘ measuring sale correlation factors by category from website trafficdata
↘ recalibrating market share models
US 3.3M
Averageliftin Salespermonth
6%
Improvedconversion
THE BENEFITS

29. Pricing optimisation and recommendations for a Spanish apparel retailer
THEPROBLEM
Spanish reseller of premium apparel,
suffering from low sales velocity and
unnecessary margin loss
↘ Challenges related to initial pricing of goods
↘ Limited in their ability to optimise markdown schedules
↘ Pricing strategies based on perceived value and ignorant of demand
↘ Inability to make dynamic trade-offs between revenue and profits
↘ No way to account for cannibalisation at a brand level
THE SOLUTION
Use artificial intelligence & machine
learning to put pricing on autopilot
↘ Cohort-based optimisation of price based on brand and SKU attributes
↘ Initial pricing recommendation based on SKU similarityand demand
↘ Dynamic markdown schedules optimised for profit
↘ Pricing recommendations account for seasonality, cannibalisation & region
11%
IncreaseIn Revenue
8%
RelativeIncreaseIn Orders
THE BENEFITS

30. Leveraging location-based analytics and competitor insights
THEPROBLEM
Categorise stores basedon their risk profile derived
from analysing Competitor prices, location-based
metrics and point-of-interest basedcustomer data
THE SOLUTION
↘ Analyse and collate data from various sources that include census block-group data, POI-based
customer visits data, restaurant and gas stationsaturation metrics and competitor price data.
↘ Build a forward-looking index with a 6-8 weeks lag window to identify stores with higher risk to
increasing gas prices and inflation
↘ Create final store groups using statisticalinference models and suggest prescriptive actions to
these store groups
THE BENEFITS
↘ The Trade area analysis of the store location provides critical insights on store placement,
understanding customer behavior and geographical bias.
↘ The stores can be grouped into different tiers based on the insights derived and appropriate
prescriptive actions can be suggested to each store tier based on competitor insights, location
insights and influence of macroeconomic trends.

31. Competitor Benchmarking —
Integration and Value Delivery

32. Competitor Benchmarking integrates into enterprise systems via tailored UX or
APIs
Exemplar from our e-commerce client
Tailor made app pulls data from
Competitor Benchmarking systems
via APIS
• Prices matched only for selected
products
• Prices matched only if inventory,
margin constraints are met
• Prices matched only if no
competitor gimmickry detected
Competitor Benchmarking
primed for a set of
products & channels
Data pulled via APIs Apply rules and models Pricing and discount
decisions pushed into
enterprise ERP systems
Competitor Benchmarking is
onboarded for the set of
products, categories and
competition
Push prices into SAPS4 Hana –
MM and SDvia Odata APIs and
other ERP systems

33. Broader Applications - Industries and Features
Food
Discovering trends
Grocers
Competitor Pricing
Restaurants
Menu Equivalence
E-Commerce
Quotes and Qualification
Fashion
Discovering trends
Travel
Discovering Prices
Insurance
Quotes and Qualification
More…

34. Our Discovery Offering unearths opportunities for improvement and builds a
business case…
We sample your data, processes and
levers and provide a roadmap to
achieve businessoutcomesusing data
driven decisioning
▸ Opportunities
▸ Levers
▸ BusinessCase and benefits
▸ Initiatives & low hanging fruits
▸ Value Realisation Roadmap

35. JK Tech US Inc.
608, Fifth Avenue, Suite 401,
New York, NY 10020 USA
JK Tech UK Ltd.
107-111 Fleet Street, London,
EC4A 2AB, United Kingdom
JK Technosoft Ltd.
F-3, Sector-3
Noida – 201301, India
Thank You
Kishore Rajgopal
kishore.rajgopal@jktech.com | +91 96865 66077

36. Our clients worldwide are enjoying business results that are difficult to ignore…
Grocery Deliveries
+03% Revenue
-35% Out-of-Stock
Grocery
SaaS for managing
independent Retail stores
Apparel
+08% Orders
+11% Revenue
Consumer Electronics
+05% Average Sale
-10% Out-of-Stock
Apparel
+14% Revenue
-03% Inventory
Jewelry
+05% Gross Margin
Pharma Retail
Healthcare
Algo for predicting
panic attacks
Retail
Product Attribution
Marketing
Hyper-local marketing

37. External Data Sources Worth
Considering

38. External data sources
• Point-of-Interest (POI) data to understand visitor rate,
median dwell and visitor landscape. Upcoming POI trends
by state, category and brand – sourced from third party
vendors.
• Mobility data to understand cross shoppinginsights –
Sourced from SafeGraph, CAP Locations, Veraset.
• Location based storesaturation data - obtained from
Google APIs and other geospatial libraries like
OpenStreepMaps
• Demographyprofile – Data sourced from the US Census
bureau, ESRI demographics data, Spatial.ai
• Environmental data – Weather and climate related data by
location – ClimateCheck, Tomorrow.io, CustomWeather
• Social Media Activitydata - From Spatial.ai

39. Benefits of acquiring incorporating external data sources
• Point-of-Interest (POI) and mobilitydata
Visitor statistics, Dwell times, Trade area analytics,
consumer insights, retail site selection, location-based
marketing, understand transience and store grouping.
• Location based storesaturation Data
Count of total establishments in the region, location-based
competitor discovery and profiling for retail stores.
• Demographyprofile
Customer spending data helps understand median
customer spending per transaction at an online site or retail
store. Also helps with customer and store profiling, based
on the demography metrics of visitor block groups like total
population, median income, median age, etc.
• Environmental data
Historical and upcoming weather patterns help model
seasonality into the forecasting and decisioning models to
enhance forecasting accuracy.

40. Competitor Benchmarking performs fuzzy matching as needed…
Example of Price comparison of an
item against identical
or similar products from the
competition
Illustrative Outputs and Analytics