Including EE and TCS: 2025 RTIH Innovation Awards data analytics finalists announced

We’re pleased to announce the shortlist for the 2025 RTIH Innovation Awards Best Data Analytics Driven Retail Initiative category

We received a record number of entries this year and many fantastic examples of the continued resilience and dynamism of the retail space during hugely challenging times.

Congratulations to all those who made it through the initial submission process!

It’s now over to our judging panel who will decide the winners to be announced at the 2025 RTIH Innovation Awards ceremony, taking place  at The HAC in Central London.

The event will be held on Thursday, 16th October and consist of a drinks reception, three course meal, and awards ceremony presided over by award winning comedian, actress and writer Tiff Stevenson.

Book your place at the 2025 RTIH Innovation Awards ceremony on Thursday, 16th October here.

Our 2025 runners and riders as follows:

Augmodo

Augmodo, a real-time inventory and task tracker using spatial AI to improve efficiency for retailers, brands and consumers, develops human led tech for an augmented workforce.

Wearable, real-time spatial AI assistants help track inventory and collect shelf data, cutting down tedious tasks. Associates walk aisles as they normally do with a Smartbadge as the store is scanned for them, helping them restock shelves, place orders, and improve compliance.

Augmodo helps retailers and brands save millions of dollars in auditing and stocking errors. The tech is easy to scale, requires no operational changes and builds AI aided live, 3D maps, building real-time planograms.

Datitude

Drowning in a data lake, starved of insight? Retailers needing better access to their data, and actionable insights they can rely on, trust.

Datitude - a managed data platform for modern commerce. It seamlessly connects, integrates and unifies data – joining the dots between multiple channels, disparate systems and siloed data to unleash powerful analytics at speed, on-demand.

Data where it’s needed, on time, in the right format. No silos. A single source of truth across the whole business; the same curated data, sliced and diced for every need.

EDITED

EDITED is an AI solution built by retailers, for retailers. The technology connects competitor, company, and customer data in one platform.

The solution gives retailers the context they need to make decisions that are market-informed, profit aware, and customer centric. With just a few clicks, retailers gain actionable insights and can automatically surface opportunities for data led decisions across assortment, pricing, and site merchandising.

EE

EE transformed its budgeting approach by replacing static weekly shop budgets with dynamic, demand driven forecasts.

Using Google Cloud’s machine learning and AI recommendations, we analysed three years of historic data to create tailored seasonal budgets for each shop. These budgets were integrated into EE’s analytics tool, ‘My Store’, enabling leaders to make smarter staffing decisions - offering overtime or encouraging leave based on real-time customer demand.

This innovation improved operational efficiency, empowered store teams, and aligned resources with customer needs, driving better outcomes across the business.

Intelligence Node

Intelligence Node’s Content Optimisation Platform addresses the complexities of managing millions of PDPs (Product Detail Pages) across online marketplaces by combining advanced analytics, GenAI, and a retail data repository of 1.2 billion + SKUs.

Built to streamline compliance and scalability, the platform empowers sellers to effortlessly meet marketplace guidelines, eliminate content errors, and optimize product detail pages with actionable, SEO ready insights.

At its core is retail’s largest database and a proprietary LLM Compiler that transforms free text merchandiser queries into structured analytics, seamlessly connecting Elastic Search with vector databases and real-time RAG. This innovation delivers unmatched speed, accuracy, and intelligence in PDP optimisation - driving higher conversions and profitable growth at scale.

Mixpanel

eXtra, a consumer electronics and home appliance retailer in Saudi Arabia, used Mixpanel to boost unique purchases and optimise its checkout-to-order conversion rates.

By analysing user behaviour data, eXtra was able to identify key friction points in the purchasing funnel. This data driven approach allowed its team to implement targeted improvements, leading to an increase in successful transactions. 

SHEKEL AI

SHEKEL AI’s patented WeightAI technology transforms any retail shelf into a live, high quality data source. By creating unique weight signatures for each SKU, it delivers real-time, transaction accurate recognition with 99%+ accuracy.

Unlike costly, privacy intrusive vision systems or impractical RFID, WeightAI provides continuous insights at minimal cost and without collecting personal data. Every shelf interaction becomes actionable intelligence for theft prevention, inventory optimisation, and autonomous retail.

Already powering hundreds of smart coolers and Hitachi’s COURIBA workplace stores in Japan, WeightAI defines a new category: High Quality Micro-Behavioural Data Analytics, a legally compliant, predictive data engine redefining global retail intelligence.

Tata Consultancy Services

Competitor intelligence directly impacts a retailer’s ability to outpace rivals and grow market share by optimising their proposition. TCS Optumera Competitor Data Bureau provides vital near-real-time intelligence-as-a-service on competitor moves across pricing, promotions, assortments, content, and marketing.

Powered by domain specific, patented algorithms, GenAI, NLP, and image recognition, it provides actionable insights at scale and at granular levels. It senses and infers even weak signals, summarises competitor intent, and identifies threats and opportunities. 

For example, in which categories are competitors trying to increase market share? Which new competitor items risk my proposition? How do I bundle products better to drive conversion?

Tesco and LiveRamp

Tesco, WPP Media, and LiveRamp transformed the effectiveness of co-marketing campaigns by activating nine precision growth audiences derived from Tesco Clubcard first-party data.

Leveraging LiveRamp’s data collaboration platform, campaigns ran seamlessly across programmatic display and social media, with transparent, incremental measurement that fuelled strategic optimisation.

This audience led approach delivered resounding success across all objectives, driving a £60 iROAS, 13% larger basket sizes, a 9% increase in new-to-brand awareness, and a 4% rise in sales.

Walkbase

Walkbase TREQ transforms in-store analytics and retail media measurement by unifying data from occupancy, shopper journeys, and retail media campaigns into one powerful decision-making platform.

Leveraging advanced millimetre wave sensors and AI driven analytics, TREQ delivers precise, privacy compliant insights into shopper behaviour, media exposure, and attribution. Retailers can measure campaign effectiveness with closed loop attribution, optimise staffing, and improve shopper experiences in real-time.

By bridging digital and physical data, Walkbase TREQ enables retailers to act on accurate insights, maximise in-store performance, and drive measurable revenue uplift. It is a breakthrough in connecting data analytics to actionable retail strategies.