MarTech Power: Transforming Marketing with Ai

Sales forecast for a retail major on EOSS

Our Sales Forecast model empowered our Apparel Retailer with sales projections to successfully prepare inventory, staffing, and marketing strategies for an end-of-season sale. For our forecast, we used historical sales data as a starting point. By identifying the crucial elements—such as the state of the economy, consumer behaviour, and market trends—we were able to develop a sales projection supported by a successful campaign that took into account holidays and planned offers.

Making decisions that are well-informed in order to maximise income and improve EOSS

By offering special discounts, package deals, and related promotions to Premium Customers, we created the Pricing Strategy for EOSS.

In addition to focusing on inactive customers to increase foot traffic, marketing and promotion programmes were developed to increase the average ticket size for active customers.

Based on actual sales data and consumer input, we regularly examined and modified the campaigns while EOSS was in progress.

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Ai lead allocation to improve conversion

Our Automotive NBFC client received Consent Lead and Cold Leads across Automotive Dealer Network, Call Centre, Online and Direct Visits. All leads are collated to call centre and there is a need to identify Call Executive for appointments with each leads. Our client needs to score each lead on its conversion propensity matching appropriate call executive with the help of an allocation engine and a scheduler.

Ai-Driven Call Agent Scoring for an allocation engine and a scheduler

To improve call centre operations, identify applications that are likely to be used frequently and map them.

Product relevant ranking was defined by determining the correct segmentation score and finding the pertinent product with the highest conversion potential.

We created executive mapping strategies by grouping these products into distinct categories that might be handled uniquely.

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