Insights & reporting and application development

Insights & reporting

Examples of projects:

Executive insights portal for global beverage client:
  • Built a role-specific portal delivering topline KPIs, market share movement, and promo ROI by brand and region.
  • Integrated POS, Nielsen/IRI, and internal finance data into a single harmonized dashboard.
  • Enabled C-suite view with export-to-deck feature for board presentations and retailer JBP packs.
  • Created a dashboard enabling instant comparison of sell-in vs. sell-out by retailer, banner, and format.
  • Embedded filtering by pack type, pricing tier, and distribution class to identify underperforming product clusters.
  • Delivered via Power BI with daily refresh from harmonized data lake.
  • Linked insights across early-stage concept tests, in-market pilots, and post-launch performance.
  • Developed funnel drop-off visuals, lift metrics, and velocity scorecards to guide innovation decisions.
  • Connected to PIM, shopper insights, and sales forecasts in one live report.

Value we have created

97% dashboard adoption in commercial teams

Executives and sales leads actively use reporting tools, reducing dependency on ad hoc Excel requests.

-85% time spent creating weekly reports

Automated insights workflows saved analysts over 30 hours per week globally.

+12% gross margin via promo ROI optimization

Insights exposed low-performing trade promotions, redirecting budget toward high-ROI events.

4x faster JBP deck creation

With dynamic exports and visually ready modules, account managers built retailer decks in hours, not days.

Global alignment in 8 weeks

Standardized KPIs and reporting taxonomy across 22 markets and 4 business units.

Why our insights platforms are scientifically better

1

Context-rich visualization layers:

  • We design dashboards not just to show data — but to answer specific business questions like “Why did this SKU dip in Club?”
  • Layered filters, brand context, and category comparators are built in, so insights are self-guided and actionable.

2

Adaptive learning models:

  • Whether your source data sits in Snowflake, SAP, or Google Sheets — we stitch together syndicated, POS, PIM, and finance layers.
  • That means fewer blind spots, more connected insights, and better decision-making across teams.

3

Built with retail and brand teams in mind:

  • Our reporting isn’t generic. Every module is mapped to key workflows like retailer reviews, innovation gates, and S&OP cycles.
  • Visuals and narratives match how your teams communicate — not how IT structures a database.

4

Insights you can drill, not just read:

  • All dashboards are built with interactive drilldowns — by retailer, by pack, and by week.
  • You can spot the problem, identify the root cause, and take action without leaving the report.

5

Governed, yet flexible:

  • We build standardized global views with flexibility at the edges — so local markets can slice their data without breaking governance.
  • Role-based access, audit logs, and data definitions are fully documented and aligned with internal BI policies.

Application development

Examples of projects

AI-driven pricing & promo simulator web app:

  • Developed a browser-based simulator for revenue and trade teams to test pricing and promo combinations across brands and retailers.
  • Integrated elasticity models, historical uplift curves, and forecast overlays in real time.
  • Users can simulate outcomes, compare scenarios, and export ready-to-use business cases into JBP decks.

Global innovation tracker platform:

  • Built a full-stack application for tracking innovation performance from concept to post-launch review.
  • Included configurable scorecards, funnel analytics, and integration with concept testing and POS feeds.
  • Offered multi-level access for global, regional, and local users with tailored modules per business function.

Customer activation hub for DTC campaigns:

  • Created a web-based platform to manage and personalize campaign assets by shopper segment and lifecycle stage.
  • Pulled in data from CRM, web analytics, product catalogs, and support logs.
  • Auto-triggered campaigns across email, SMS, and push, with real-time performance reporting and A/B testing.

Value we have created

3x faster promo scenario development

Commercial teams used the simulator to reduce planning time from 6 days to 2 days per event cycle.

 

Automated ingestion and reporting cut down manual tracking effort by 21%, saving time across marketing and insights.

The segment-driven personalization engine boosted engagement by 15% across email and push.

Our modular app stack enabled deployment across 20+ countries with local data and language support.

Business teams could update thresholds, filters, and rules in real time — no IT support needed.

Why our application development is scientifically better

Purpose-built for brand & retail workflows:

  • Unlike generic platforms, our apps reflect how consumer brand teams actually work — from promo cycles to retailer scorecards.
  • UX flows are designed around your existing tools and terminology, reducing adoption friction and training time.

Modular architecture with plug-in logic:

  • Built on a microservices model with reusable modules for pricing, activation, innovation, or insights.
  • You can launch small, scale fast, and plug in new data sources without full rebuilds.

ML & decision logic embedded natively:

  • We embed prediction models, optimization engines, and rule-based triggers directly in the app — not bolted on.
  • This allows end users to run simulations, receive alerts, and act on recommendations without switching platforms.

Multi-level access & data governance:

  • Apps are permission-aware, with tailored experiences for global execs, regional managers, and field reps.
  • Governance, audit logs, and secure sign-on (SSO, OAuth) are built-in and align with enterprise security standards.

Designed for iteration, not lock-in:

  • We build apps that your team can evolve — no vendor lock-in, no dependence on proprietary codebases.
  • Built on modern open standards (React, Node.js, PostgreSQL) with full documentation and handover.

Predictive precision:

  • AI analytics solutions employ ensemble learning, which combines the strengths of multiple algorithms to deliver more accurate results than traditional analytics.

Get in touch

Our friendly and efficient team is here to discuss your ideas. No pressure, just solutions.

Contact us

What happens next?

  • Our team will reach out to you to schedule a 'no pressure' call to help understand your objectives
  • We'll provide relevant demos and examples. You then confirm to us that you have a formal mandate to purchase.
  • We will provide the best-in-class proposition, tailored to all your nuances.
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