CPG & Retail
TEG delivers a complete suite of Omni-Channel Strategies & Tactics to help drive
revenue, traffic, profitability and loyalty
A suite of Retail and CPG Analytics solutions are delivered by TEG to help you make better business decisions. TEG delivers a complete suite of omni-channel strategies and tactics to help drive revenue, traffic, profitability, and loyalty. Teg offers tableau and market research services for international clients globally. We study long term trends to make a comparative analysis of a particular data point with our accurate analytics. Regarding our CPG data analytics context, it addresses any product or consumer behaviour data that is relevant to producers and retailers. Our Tableau Dashboard development creates interactive, real-time visualizations. Now combine data sources, add filters, and drill down into specific information.
Teg Analytics predicts consumer activity with Market research and whitepaper development. Our CPG analysis can be used as a forecasting tool for brands to spot missed opportunities. With a data-driven team, you'll know when your stock levels are going down at a certain retailer. So there's no cribbing on missed sales because you stock up on time. So make up for it before customers turn to a competitor's product.
Please take advantage of our Market Mix Modeling development to recognize, identify, and understand retail patterns and pull in more revenue. Find below our process and the solutions that TEG offers:
The TEG Process
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Asses & Set
directions -
Forecast &
Optimize -
Track and
review
Products & Services
IntellMixTMWith increasing competitive pressure and a dynamic macro-economic context, Analytics and Marketing professionals today face the twin challenges of reduced budget constraints as well as increased ROI and effectiveness targets. However, obstacles such as unprecedented scale of data, tedious and manual processes, and a greater number of stakeholders to work with, are getting in the way.
intellMix is a platform that helps Marketers and Analytics professionals deal with these challenges by bringing together Tech, Machine Learning and Story Telling capabilities.
intellMix leverages automation and orchestrated work flows to drive faster insights. Machine Learning is deployed to deal with changing data sources and schemas, and to prevent errors and restatements. Finally state of the art simulation and planning coupled with intuitive story based dashboards make insights pragmatic and easy to consume.

We Offer
Customer Segmentation
Store Size Optimizer
Sales & Sell Through Analysis
Market Basket Analysis
Sales Forecast Models
End of Season Sales/Markdown
Loyalty Analytics
Promotions Lift simulation
Digital Marketing Data Reporting
Store Level SKU analysis
Replenishment Planning
Price Elasticity Analysis
Expertise
TEG delivers a complete suite of omni-channel strategies and tactics to help drive revenue, traffic, profitability, and loyalty. Here are some insights & questions that can help our clients.
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Customer Segmentation
1. Which are the customers that are most likely to do business with us?
2. What are their unfulfilled needs?
3. What makes them value our product/service?
4. What are the key distinguishing characteristics of this strategic group? -
WHO Identification
1. What are the strategic customer groups that my brand should pursue based on needs?
2. What specific needs of these prospect groups do my brand/line variants address?
3. What are the specific prospect groups within the overall strategic group?
4. What is cannibalization and growth opportunity that exists? -
Equity Pathways
1. How do the different equity themes impact one another?
2. What is the hierarchy in which the equity themes impact purchase decision?
3. Can I quantify the impact on purchase decision if the equity levers are impacted upon? -
Equity Evolution
1. How do different equity themes in a product category evolve over time?
2. Which countries globally are in what stage of equity evolution?
3. How can I specifically position product introductions in a country in line with such evolution timetable? -
Portfolio Optimization
1. What equity pathways are used by different brands in my portfolio?
2. What is the cannibalization? Are multiple brands targeting the same equity pathway?
3. How can I differentiate my brand pathway vs. that used by the competition brand?
4. Does my brand follow the same equity pathway globally or are there any deviations?
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Demand Elasticity
1. What will be the impact on revenue & profit if we raise / drop price on a particular product?
2. What will be the impact on my revenue & profit if my competitor raises / drops price on his products?
3. What price reduction will need to be made to regain lost market share post a competitive price drop? -
Markdown analysis
1. Which products do we need to mark down to incentivize sales increase ? Also , which products should not be marked down?
2. Are marked down products cannibalizing other similar product sales ?
3. Do we have leakage in our markdown strategy i.e. products that have excessive markdowns ? -
Tipping Point Analysis
1. At what pricing threshold do the sales substantially increase/decrease?
2. What are the pricing corridors that allow me to operate with a stable market share? -
Scenario Analysis
1. How can I model my pricing and sales using my historical data to test future pricing actions and its impact real time? -
Incentive Optimization
1. What is the ROI of sales incentive program? Does it add to incremental sales?
2. What are the attributes of a successful incentive?
3. What is the ideal sales target for an incentive to avoid a target too low (unnecessary pay-outs) or a target too high (low participation)? -
Multi-Level Marketing (MLM)
1. How to increase sales rep activity?
2. How to increase average bill value?
3. Which products are good candidates for cross-sell?
4. Are the new rep training and on-boarding programs adding any value in terms of incremental sales? -
Purchase Propensity
1. Identify the customers that are most likely candidates for cross-sell/Up-sell?
2. Identify customers that are most likely to respond positively to a marketing campaign? -
Sales Dashboards
Visually depict sales trends and comparisons across several dimensions:
1. Product categories
2. Geographies
3. Store type
4. Store age
5. Store size
….with key comparatives versus:
1. Same period last year for comp stores
2. Same period this year across locations etc.
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Concept Success Assessment
1. What are the key drivers of successful concept ideas?
2. Are there specific country level differences between these drivers?
3. Can these insights be used to create concept ideas that have high probability of global success? -
Promotion Effectiveness
1. What promotions successfully lift sales to create profits?
2. Which category is best promoted at what time of the year?
3. What kind of promotions work well in different categories?
4. What is the lead/lag time in a promotion and how does it impact my inventory optimization efforts -
Product Affinity
1. What products initiate cross-buying to increase total category sales?
2. What products constitute the market-basket of my target consumers leading to higher total category profit? -
Direct Marketing Optimization
1. Who are the ideal customers for cross-sell & up-sell?
2. What is the ROI of my different campaigns?
3. What is the ideal Offer * Channel * Customer-segment combination in my direct marketing efforts? -
Marketing Dashboards
1. How to bring data to life using smart visuals?
2. How to see the most relevant KPIs in a dynamic, interactive dashboard? -
Market Mix Optimization
1. Which marketing medium is contributing the most to ROI?
2. How to right allocate marketing spends to optimize results?
3. How does spend on 1 marketing medium (E.g. TV Ad GRPs) impact the efficacy of spend on another marketing medium (E.g. Trade Spends)?
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Catchment Area Analysis
1. What is the carrying capacity/ potential of a particular location?
2. Would it be feasible to set up a retail unit , given current & projected competitive presence? -
Store Success Drivers
1. Does store size have an impact on store profitability? If yes, what is the ideal store size for a given locality?
2. Would it increase sales if the store was located within a mall rather than on high street, in the same general area? -
Assortment Planning
1. What is the ideal SKU mix in a store , in order to maximize sales and optimize inventory cost -
Store Segmentation
1. What clusters of stores in my distribution setup operate in a like manner?
2. How to optimize my promotions based on the differences/similarities between my store outlets? -
Store Size Optimization
1. What are the parameters that define my choice of store size while opening new stores?
2. What is the optimum size for my stores in different geographical locations?
3. What kind of product line-up is optimal for my different store sizes? -
Sell Thru Analysis
1. Which SKUs are moving slowly as compared to plan? Which stores have a larger inventory of slow moving SKUs?
2. What is the ideal inter – store stock transfer matrix , in order to maximize overall sales? -
Inventory Optimization
1. What is the ideal amount of inventory to hold for a SKU, to minimize holding cost?

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